Merge branch 'master' of github.com:alphacep/vosk-api

Cleaning up and completing go bindings

.gitignore

@@ -1,20 +1,25 @@
-# Built application files
-*.apk
-*.ap_
+# Object files
+*.o
 
-# Java class files
-*.class
+# Temp files
+nohup.out
 
 # Gradle files
 .gradle/
-build/
 gradlew
 gradlew.bat
 gradle
-
-# Local configuration file (sdk path, etc)
 local.properties
 
+# Android
+android/build
+android/lib/build
+android/model-en/build
+android/model-en/src/main/assets/model-en-us
+android/repo
+*.apk
+*.ap_
+
 # Cmake
 .cxx
 cmake_install.cmake
@@ -24,14 +29,42 @@ wheelhouse
 __pycache__
 *.egg-info
 python/dist
+python/build
+python/vosk/*.so
+python/test/db
+python/test/hyp
+python/test/model
+python/test/ref
+python/test/result.txt
+python/test/wav.scp
 
 # Java
-*.so
-java/org
-java/model-en
-java/*.cc
+*.class
+java/lib/model
+java/demo/model
+java/lib/build
+java/demo/build
 
 # CSharp
-csharp/gen
-csharp/*.exe
-csharp/*.cc
+*.dll
+*.so
+*.dylib
+*.nupkg
+csharp/demo/model
+csharp/demo/test.wav
+csharp/demo/bin
+csharp/demo/obj
+
+# Node
+nodejs/demo/model
+nodejs/demo/model-spk
+nodejs/demo/test.wav
+nodejs/node_modules
+nodejs/package-lock.json
+
+# C
+c/test_vosk
+c/test_vosk_speaker
+c/oprofile_data
+c/model
+c/test.wav

.travis.yml

@@ -7,11 +7,10 @@ matrix:
       services:
         - docker
       env: DOCKER_IMAGE=alphacep/kaldi-manylinux:latest
-           PLAT=manylinux2010_x86_64
 
 install:
   - docker pull $DOCKER_IMAGE
 
 script:
-  - docker run --rm -e PLAT=$PLAT -v `pwd`:/io $DOCKER_IMAGE $PRE_CMD /io/travis/build-wheels.sh
+  - docker run --rm -v `pwd`:/io $DOCKER_IMAGE $PRE_CMD /io/travis/build-wheels.sh
   - ls wheelhouse/

README.md

@@ -1,114 +1,26 @@
-[![Build Status](https://travis-ci.com/alphacep/vosk-api.svg?branch=master)](https://travis-ci.com/alphacep/vosk-api)
+# About
 
-Language bindings for Vosk and Kaldi to access speech recognition from various languages and on various platforms
+Vosk is an offline open source speech recognition toolkit. It enables
+speech recognition models for 18 languages and dialects - English, Indian
+English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish,
+Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino,
+Ukrainian.
 
-  * Python on Linux, Windows and RPi
-  * Node
-  * Android
-  * iOS
+Vosk models are small (50 Mb) but provide continuous large vocabulary
+transcription, zero-latency response with streaming API, reconfigurable
+vocabulary and speaker identification.
 
-## Android build
+Speech recognition bindings implemented for various programming languages
+like Python, Java, Node.JS, C#, C++ and others.
 
-```
-cd android
-gradle build
-```
+Vosk supplies speech recognition for chatbots, smart home appliances,
+virtual assistants. It can also create subtitles for movies,
+transcription for lectures and interviews.
 
-Please note that medium blog post about 64-bit is not relevant anymore, the script builds x86, arm64 and armv7 libraries automatically without any modifications.
+Vosk scales from small devices like Raspberry Pi or Android smartphone to
+big clusters.
 
-## Python installation from Pypi
+# Documentation
 
-The easiest way to install vosk api is with pip. You do not have to compile anything. We currently support only Linux on x86_64 and Raspberry Pi. Other systems (windows, mac) will come soon.
-
-Make sure you have newer pip and python:
-
-  * Python version >= 3.4
-  * pip version >= 19.0
-
-Uprade python and pip if needed. Then install vosk on Linux with a simple command
-
-```
-pip3 install vosk
-```
-
-## Compilation from source
-
-If you still want to build from scratch, you can compile Kaldi and Vosk yourself. The compilation is straightforward but might be a little confusing for newbie. In case you want to follow this, please watch the errors.
-
-#### Kaldi compilation for local python, node and java modules
-
-```
-git clone -b lookahead --single-branch https://github.com/alphacep/kaldi
-cd kaldi/tools
-make
-```
-
-install all dependencies and repeat `make` if needed
-
-```
-extras/install_openblas.sh
-cd ../src
-./configure --mathlib=OPENBLAS --shared --use-cuda=no
-make -j 10
-```
-
-#### Python module build
-
-Then build the python module
-
-```
-export KALDI_ROOT=<KALDI_ROOT>
-cd python
-python3 setup.py install
-```
-
-#### Java example API build
-
-Or Java
-
-```
-cd java && KALDI_ROOT=<KALDI_ROOT> make
-wget https://github.com/alphacep/kaldi-android-demo/releases/download/2020-01/alphacep-model-android-en-us-0.3.tar.gz
-tar xf alphacep-model-android-en-us-0.3.tar.gz 
-mv alphacep-model-android-en-us-0.3 model
-make run
-```
-
-#### C# build
-
-Or C#
-
-```
-cd csharp && KALDI_ROOT=<KALDI_ROOT> make
-wget https://github.com/alphacep/kaldi-android-demo/releases/download/2020-01/alphacep-model-android-en-us-0.3.tar.gz
-tar xf alphacep-model-android-en-us-0.3.tar.gz 
-mv alphacep-model-android-en-us-0.3 model
-mono test.exe
-```
-
-## Running the example code with python
-
-Run like this:
-
-```
-cd vosk-api/python/example
-wget https://github.com/alphacep/kaldi-android-demo/releases/download/2020-01/alphacep-model-android-en-us-0.3.tar.gz
-tar xf alphacep-model-android-en-us-0.3.tar.gz 
-mv alphacep-model-android-en-us-0.3 model
-python3 ./test_simple.py test.wav
-```
-
-There are models for other languages (English, Chinese, Spanish, Portuguese, German, French, Russian) available too at https://github.com/alphacep/kaldi-android-demo/releases
-
-To run with your audio file make sure it has proper format - PCM 16khz 16bit mono, otherwise decoding will not work.
-
-You can find other examples of using a microphone, decoding with a fixed small vocabulary or speaker identification setup in  [python/example subfolder](https://github.com/alphacep/vosk-api/tree/master/python/example)
-
-## Contact Us
-
-If you have any questions, feel free to
-
-   * Post an issue here on github
-   * Send us an e-mail at [contact@alphacephei.com](mailto:contact@alphacephei.com)
-   * Join our group dedicated to speech recognition on Telegram [@speech_recognition](https://t.me/speech_recognition)
-   
+For installation instructions, examples and documentation visit [Vosk
+Website](https://alphacephei.com/vosk).

android/CMakeLists.txt

@@ -1,61 +0,0 @@
-# Vosk CMake File
-
-cmake_minimum_required(VERSION 3.4.1)
-
-if ("x${ANDROID_ABI}" STREQUAL "xarmeabi-v7a")
-set(OPENBLAS_ARCH "armv7")
-set(KALDI_SUFFIX "arm_32")
-elseif ("x${ANDROID_ABI}" STREQUAL "xarm64-v8a")
-set(OPENBLAS_ARCH "armv8")
-set(KALDI_SUFFIX "arm_64")
-else ("x${ANDROID_ABI}" STREQUAL "xarmeabi-v7a")
-set(OPENBLAS_ARCH "atom")
-set(KALDI_SUFFIX "x86_64")
-endif ("x${ANDROID_ABI}" STREQUAL "xarmeabi-v7a")
-
-set(KALDI_ROOT "${PROJECT_SOURCE_DIR}/build/kaldi_${KALDI_SUFFIX}/kaldi")
-set(LIB_ROOT "${PROJECT_SOURCE_DIR}/build/kaldi_${KALDI_SUFFIX}/local")
-
-set(API_SOURCES
-"${PROJECT_SOURCE_DIR}/../src/kaldi_recognizer.cc"
-"${PROJECT_SOURCE_DIR}/../src/kaldi_recognizer.h"
-"${PROJECT_SOURCE_DIR}/../src/model.cc"
-"${PROJECT_SOURCE_DIR}/../src/model.h"
-"${PROJECT_SOURCE_DIR}/../src/spk_model.cc"
-"${PROJECT_SOURCE_DIR}/../src/spk_model.h"
-)
-
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O3 -DFST_NO_DYNAMIC_LINKING")
-
-add_library( kaldi_jni SHARED
-             build/generated-src/cpp/vosk_wrap.cc
-             ${API_SOURCES}
-)
-
-include_directories("${PROJECT_SOURCE_DIR}/../src" "build/kaldi_${KALDI_SUFFIX}/kaldi/src" "build/kaldi_${KALDI_SUFFIX}/local/include")
-
-target_link_libraries( kaldi_jni
-             ${KALDI_ROOT}/src/online2/kaldi-online2.a
-             ${KALDI_ROOT}/src/decoder/kaldi-decoder.a
-             ${KALDI_ROOT}/src/ivector/kaldi-ivector.a
-             ${KALDI_ROOT}/src/gmm/kaldi-gmm.a
-             ${KALDI_ROOT}/src/nnet3/kaldi-nnet3.a
-             ${KALDI_ROOT}/src/tree/kaldi-tree.a
-             ${KALDI_ROOT}/src/feat/kaldi-feat.a
-             ${KALDI_ROOT}/src/lat/kaldi-lat.a
-             ${KALDI_ROOT}/src/hmm/kaldi-hmm.a
-             ${KALDI_ROOT}/src/transform/kaldi-transform.a
-             ${KALDI_ROOT}/src/cudamatrix/kaldi-cudamatrix.a
-             ${KALDI_ROOT}/src/matrix/kaldi-matrix.a
-             ${KALDI_ROOT}/src/fstext/kaldi-fstext.a
-             ${KALDI_ROOT}/src/util/kaldi-util.a
-             ${KALDI_ROOT}/src/base/kaldi-base.a
-             ${LIB_ROOT}/lib/libfst.a
-             ${LIB_ROOT}/lib/libfstngram.a
-             ${LIB_ROOT}/lib/libopenblas_${OPENBLAS_ARCH}-r0.3.7.a
-             ${LIB_ROOT}/lib/libclapack.a
-             ${LIB_ROOT}/lib/liblapack.a
-             ${LIB_ROOT}/lib/libblas.a
-             ${LIB_ROOT}/lib/libf2c.a
-             log
-             )

android/README.md

@@ -1,22 +1,3 @@
-This is still work in progress, more to come
+Vosk library for Android
 
-## TODO
-
-   * Optimize graph construction, current one is below accuracy
-
-   * Load model from the AAR (mmap them in tflite style)
-
-   * Add decoding speed measurement
-
-   * Add wakeup word
-
-   * Add speakerid
-
-   * Integrate proper hardware optimized neural network library. Candidates are:
-
-      * https://github.com/XiaoMi/mace
-      * https://github.com/Tencent/ncnn
-      * https://developer.android.com/ndk/guides/neuralnetworks/ (since API level 27)
-      * https://github.com/google/XNNPACK
-
-   * Quantization for the models
+See for details https://alphacephei.com/vosk/android

android/build.gradle

@@ -4,65 +4,55 @@ buildscript {
         jcenter()
     }
     dependencies {
-        classpath 'com.android.tools.build:gradle:3.5.3'
+        classpath 'com.android.tools.build:gradle:4.1.3'
     }
 }
 
 allprojects {
-  repositories {
-      google()
-      jcenter()
-  }
+    version = '0.3.30'
 }
 
-apply plugin: 'com.android.library'
+subprojects {
 
-android {
-    compileSdkVersion 29
-    defaultConfig {
-        minSdkVersion 21
-        targetSdkVersion 29
-        versionCode 5
-        versionName "5.2"
-        setProperty("archivesBaseName", "kaldi-android-$versionName")
-        externalNativeBuild {
-            cmake {
-                arguments "-DCMAKE_VERBOSE_MAKEFILE=ON", "-DANDROID_ARM_NEON=TRUE", "-DCMAKE_CXX_FLAGS_RELEASE=-O3"
+    apply plugin: 'com.android.library'
+    apply plugin: 'maven-publish'
+
+    repositories {
+        google()
+        jcenter()
+    }
+
+    publishing {
+        publications {
+            aar(MavenPublication) {
+                groupId 'com.alphacephei'
+                version version
+                pom {
+                    url = 'http://www.alphacephei.com.com/vosk/'
+                        licenses {
+                            license {
+                            name = 'The Apache License, Version 2.0'
+                            url = 'http://www.apache.org/licenses/LICENSE-2.0.txt'
+                        }
+                    }
+                    developers {
+                        developer {
+                            id = 'com.alphacephei'
+                            name = 'Alpha Cephei Inc'
+                            email = 'contact@alphacephei.com'
+                        }
+                    }
+                    scm {
+                        connection = 'scm:git:git://github.com/alphacep/vosk-api.git'
+                        url = 'https://github.com/alphacep/vosk-api/'
+                    }
+                }
             }
         }
-        ndk {
-            abiFilters 'armeabi-v7a', 'arm64-v8a', 'x86_64'
-        }
-    }
-    sourceSets {
-         main {
-              java.srcDirs = ['src/main/java', 'build/generated-src']
-         }
-    }
-    externalNativeBuild {
-       cmake {
-           path "CMakeLists.txt"
-       }
-    }
-}
-
-task swig {
-    doLast {
-        mkdir 'build/generated-src/java'
-        mkdir 'build/generated-src/cpp'
-        exec {
-            commandLine 'swig',
-            "-c++",
-            "-java", "-package", "org.kaldi",
-            "-outdir", "build/generated-src/java", "-o", "build/generated-src/cpp/vosk_wrap.cc",
-            "../src/vosk.i"
+        repositories {
+            maven {
+                url = "$rootDir/repo"
+            }
         }
     }
 }
-
-task kaldi(type: Exec) {
-    commandLine './build-kaldi.sh'
-    environment ANDROID_SDK_HOME: android.getSdkDirectory()
-}
-
-preBuild.dependsOn kaldi, swig

android/lib/build-vosk.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 
-# Copyright 2019 Alpha Cephei Inc.
+# Copyright 2019-2021 Alpha Cephei Inc.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -14,68 +14,39 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-if [ "x$ANDROID_SDK_HOME" == "x" ]; then
-    echo "ANDROID_SDK_HOME environment variable is undefined, define it with local.properties or with export"
+if [ "x$ANDROID_NDK_HOME" == "x" ]; then
+    echo "ANDROID_NDK_HOME environment variable is undefined, define it with local.properties or with export"
     exit 1
 fi
 
-if [ ! -d "$ANDROID_SDK_HOME" ]; then
-    echo "ANDROID_SDK_HOME ($ANDROID_SDK_HOME) is missing. Make sure you have sdk installed"
-    exit 1
-fi
-
-if [ ! -d "$ANDROID_SDK_HOME/ndk-bundle" ]; then
-    echo "$ANDROID_SDK_HOME/ndk-bundle is missing. Make sure you have ndk installed within sdk"
+if [ ! -d "$ANDROID_NDK_HOME" ]; then
+    echo "ANDROID_NDK_HOME ($ANDROID_NDK_HOME) is missing. Make sure you have ndk installed"
     exit 1
 fi
 
 set -x
 
-ANDROID_NDK_HOME=$ANDROID_SDK_HOME/ndk-bundle
-ANDROID_TOOLCHAIN_PATH=$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/linux-x86_64
-WORKDIR_X86_64=`pwd`/build/kaldi_x86_64
-WORKDIR_ARM32=`pwd`/build/kaldi_arm_32
-WORKDIR_ARM64=`pwd`/build/kaldi_arm_64
-PATH=$PATH:$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/linux-x86_64/bin
-OPENFST_VERSION=1.6.7
+OS_NAME=`echo $(uname -s) | tr '[:upper:]' '[:lower:]'`
+ANDROID_TOOLCHAIN_PATH=$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/${OS_NAME}-x86_64
+WORKDIR_BASE=`pwd`/build
+PATH=$PATH:$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/${OS_NAME}-x86_64/bin
+OPENFST_VERSION=1.8.0
 
-mkdir -p $WORKDIR_ARM64/local/lib $WORKDIR_ARM32/local/lib $WORKDIR_X86_64/local/lib
+for arch in armeabi-v7a arm64-v8a x86_64 x86; do
 
-# Build standalone CLAPACK since gfortran is missing
-cd build
-git clone https://github.com/simonlynen/android_libs
-cd android_libs/lapack
-sed -i 's/APP_STL := gnustl_static/APP_STL := c++_static/g' jni/Application.mk && \
-sed -i 's/android-10/android-21/g' project.properties && \
-sed -i 's/APP_ABI := armeabi armeabi-v7a/APP_ABI := armeabi-v7a arm64-v8a x86_64/g' jni/Application.mk && \
-sed -i 's/LOCAL_MODULE:= testlapack/#LOCAL_MODULE:= testlapack/g' jni/Android.mk && \
-sed -i 's/LOCAL_SRC_FILES:= testclapack.cpp/#LOCAL_SRC_FILES:= testclapack.cpp/g' jni/Android.mk && \
-sed -i 's/LOCAL_STATIC_LIBRARIES := lapack/#LOCAL_STATIC_LIBRARIES := lapack/g' jni/Android.mk && \
-sed -i 's/include $(BUILD_SHARED_LIBRARY)/#include $(BUILD_SHARED_LIBRARY)/g' jni/Android.mk && \
-${ANDROID_NDK_HOME}/ndk-build && \
-cp obj/local/armeabi-v7a/*.a ${WORKDIR_ARM32}/local/lib && \
-cp obj/local/arm64-v8a/*.a ${WORKDIR_ARM64}/local/lib
-cp obj/local/x86_64/*.a ${WORKDIR_X86_64}/local/lib
-
-# Architecture-specific part
-
-
-for arch in arm32 arm64 x86_64; do
-#for arch in x86_64; do
+WORKDIR=${WORKDIR_BASE}/kaldi_${arch}
 
 case $arch in
-    arm32)
+    armeabi-v7a)
           BLAS_ARCH=ARMV7
-          WORKDIR=$WORKDIR_ARM32
           HOST=arm-linux-androideabi
           AR=arm-linux-androideabi-ar
           CC=armv7a-linux-androideabi21-clang
           CXX=armv7a-linux-androideabi21-clang++
           ARCHFLAGS="-mfloat-abi=softfp -mfpu=neon"
           ;;
-    arm64)
+    arm64-v8a)
           BLAS_ARCH=ARMV8
-          WORKDIR=$WORKDIR_ARM64
           HOST=aarch64-linux-android
           AR=aarch64-linux-android-ar
           CC=aarch64-linux-android21-clang
@@ -84,29 +55,48 @@ case $arch in
           ;;
     x86_64)
           BLAS_ARCH=ATOM
-          WORKDIR=$WORKDIR_X86_64
           HOST=x86_64-linux-android
           AR=x86_64-linux-android-ar
           CC=x86_64-linux-android21-clang
           CXX=x86_64-linux-android21-clang++
           ARCHFLAGS=""
           ;;
+    x86)
+          BLAS_ARCH=ATOM
+          HOST=i686-linux-android
+          AR=i686-linux-android-ar
+          CC=i686-linux-android21-clang
+          CXX=i686-linux-android21-clang++
+          ARCHFLAGS=""
+          ;;
 esac
 
+mkdir -p $WORKDIR/local/lib
+
 # openblas first
 cd $WORKDIR
-git clone -b v0.3.7 --single-branch https://github.com/xianyi/OpenBLAS
+git clone -b v0.3.13 --single-branch https://github.com/xianyi/OpenBLAS
 make -C OpenBLAS TARGET=$BLAS_ARCH ONLY_CBLAS=1 AR=$AR CC=$CC HOSTCC=gcc ARM_SOFTFP_ABI=1 USE_THREAD=0 NUM_THREADS=1 -j4
 make -C OpenBLAS install PREFIX=$WORKDIR/local
 
+# CLAPACK
+cd $WORKDIR
+git clone -b v3.2.1  --single-branch https://github.com/alphacep/clapack
+mkdir -p clapack/BUILD && cd clapack/BUILD
+cmake -DCMAKE_C_FLAGS=$ARCHFLAGS -DCMAKE_C_COMPILER_TARGET=$HOST \
+    -DCMAKE_C_COMPILER=$CC -DCMAKE_SYSTEM_NAME=Generic -DCMAKE_AR=$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/${OS_NAME}-x86_64/bin/$AR \
+    -DCMAKE_TRY_COMPILE_TARGET_TYPE=STATIC_LIBRARY \
+    -DCMAKE_CROSSCOMPILING=True ..
+make -j 8 -C F2CLIBS/libf2c
+make -j 8 -C BLAS/SRC
+make -j 8 -C SRC
+find . -name "*.a" | xargs cp -t $WORKDIR/local/lib
+
 # tools directory --> we'll only compile OpenFST
 cd $WORKDIR
-wget -c -T 10 -t 1 http://www.openfst.org/twiki/pub/FST/FstDownload/openfst-${OPENFST_VERSION}.tar.gz || \
-wget -c -T 10 -t 3 http://www.openslr.org/resources/2/openfst-${OPENFST_VERSION}.tar.gz
-
-tar -zxvf openfst-${OPENFST_VERSION}.tar.gz
-cd openfst-${OPENFST_VERSION}
-
+git clone https://github.com/alphacep/openfst
+cd openfst
+autoreconf -i
 CXX=$CXX CXXFLAGS="$ARCHFLAGS -O3 -DFST_NO_DYNAMIC_LINKING" ./configure --prefix=${WORKDIR}/local \
     --enable-shared --enable-static --with-pic --disable-bin \
     --enable-lookahead-fsts --enable-ngram-fsts --host=$HOST --build=x86-linux-gnu
@@ -117,14 +107,23 @@ make install
 cd $WORKDIR
 git clone -b android-mix --single-branch https://github.com/alphacep/kaldi
 cd $WORKDIR/kaldi/src
-
 CXX=$CXX CXXFLAGS="$ARCHFLAGS -O3 -DFST_NO_DYNAMIC_LINKING" ./configure --use-cuda=no \
-    --mathlib=OPENBLAS --shared \
+    --mathlib=OPENBLAS_CLAPACK --shared \
     --android-incdir=${ANDROID_TOOLCHAIN_PATH}/sysroot/usr/include \
     --host=$HOST --openblas-root=${WORKDIR}/local \
     --fst-root=${WORKDIR}/local --fst-version=${OPENFST_VERSION}
-
 make -j 8 depend
-make -j 8 online2
+cd $WORKDIR/kaldi/src
+make -j 8 online2 lm rnnlm
+
+# Vosk-api
+cd $WORKDIR
+#rm -rf vosk-api
+git clone -b master --single-branch https://github.com/alphacep/vosk-api
+cd vosk-api/src
+make -j 8 KALDI_ROOT=${WORKDIR}/kaldi OPENFST_ROOT=${WORKDIR}/local OPENBLAS_ROOT=${WORKDIR}/local CXX=$CXX EXTRA_LDFLAGS="-llog -static-libstdc++"
+
+# Copy JNI library to sources
+cp $WORKDIR/vosk-api/src/libvosk.so $WORKDIR/../../src/main/jniLibs/$arch/libvosk.so
 
 done

android/lib/build.gradle

@@ -0,0 +1,42 @@
+def archiveName = "vosk-android"
+def pomName = "Vosk Android"
+def pomDescription = "Vosk speech recognition library for Android"
+
+android {
+    compileSdkVersion 29
+    defaultConfig {
+        minSdkVersion 21
+        targetSdkVersion 29
+        versionCode 6
+        versionName = version
+        archivesBaseName = archiveName
+    }
+    compileOptions {
+        sourceCompatibility JavaVersion.VERSION_1_8
+        targetCompatibility JavaVersion.VERSION_1_8
+    }
+}
+
+task buildVosk(type: Exec) {
+    commandLine './build-vosk.sh'
+    environment ANDROID_NDK_HOME: android.getSdkDirectory()
+}
+
+dependencies {
+    implementation 'net.java.dev.jna:jna:4.4.0@aar'
+}
+
+//preBuild.dependsOn buildVosk
+
+publishing {
+    publications {
+        aar(MavenPublication) {
+            artifactId = archiveName
+            artifact("$buildDir/outputs/aar/$archiveName-release.aar")
+            pom {
+                name = pomName
+                description = pomDescription
+            }
+        }
+    }
+}

android/lib/settings.gradle

@@ -0,0 +1 @@
+include 'model-en'

android/lib/src/main/AndroidManifest.xml

@@ -1,3 +1,3 @@
 <?xml version="1.0" encoding="utf-8"?>
-<manifest xmlns:android="http://schemas.android.com/apk/res/android" package="edu.cmu.pocketsphinx">
+<manifest xmlns:android="http://schemas.android.com/apk/res/android" package="org.vosk">
 </manifest>

android/lib/src/main/java/org/vosk/LibVosk.java

@@ -0,0 +1,60 @@
+package org.vosk;
+
+import com.sun.jna.Native;
+import com.sun.jna.Library;
+import com.sun.jna.Platform;
+import com.sun.jna.Pointer;
+import java.io.File;
+import java.io.InputStream;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.StandardCopyOption;
+
+public class LibVosk {
+
+    static {
+        Native.register(LibVosk.class, "vosk");
+    }
+
+    public static native void vosk_set_log_level(int level);
+
+    public static native Pointer vosk_model_new(String path);
+
+    public static native void vosk_model_free(Pointer model);
+
+    public static native Pointer vosk_spk_model_new(String path);
+
+    public static native void vosk_spk_model_free(Pointer model);
+
+    public static native Pointer vosk_recognizer_new(Model model, float sample_rate);
+
+    public static native Pointer vosk_recognizer_new_spk(Pointer model, float sample_rate, Pointer spk_model);
+
+    public static native Pointer vosk_recognizer_new_grm(Pointer model, float sample_rate, String grammar);
+
+    public static native void vosk_recognizer_set_max_alternatives(Pointer recognizer, int max_alternatives);
+
+    public static native void vosk_recognizer_set_words(Pointer recognizer, boolean words);
+
+    public static native void vosk_recognizer_set_spk_model(Pointer recognizer, Pointer spk_model);
+
+    public static native boolean vosk_recognizer_accept_waveform(Pointer recognizer, byte[] data, int len);
+
+    public static native boolean vosk_recognizer_accept_waveform_s(Pointer recognizer, short[] data, int len);
+
+    public static native boolean vosk_recognizer_accept_waveform_f(Pointer recognizer, float[] data, int len);
+
+    public static native String vosk_recognizer_result(Pointer recognizer);
+
+    public static native String vosk_recognizer_final_result(Pointer recognizer);
+
+    public static native String vosk_recognizer_partial_result(Pointer recognizer);
+
+    public static native void vosk_recognizer_reset(Pointer recognizer);
+
+    public static native void vosk_recognizer_free(Pointer recognizer);
+
+    public static void setLogLevel(LogLevel loglevel) {
+        vosk_set_log_level(loglevel.getValue());
+    }
+}

android/lib/src/main/java/org/vosk/LogLevel.java

@@ -0,0 +1,17 @@
+package org.vosk;
+
+public enum LogLevel {
+    WARNINGS(-1),  // Print warning and errors
+    INFO(0),       // Print info, along with warning and error messages, but no debug
+    DEBUG(1);      // Print debug info
+
+    private final int value;
+
+    LogLevel(int value) {
+        this.value = value;
+    }
+
+    public int getValue() {
+        return this.value;
+    }
+}

android/lib/src/main/java/org/vosk/Model.java

@@ -0,0 +1,17 @@
+package org.vosk;
+
+import com.sun.jna.PointerType;
+
+public class Model extends PointerType implements AutoCloseable {
+    public Model() {
+    }
+
+    public Model(String path) {
+        super(LibVosk.vosk_model_new(path));
+    }
+
+    @Override
+    public void close() {
+        LibVosk.vosk_model_free(this.getPointer());
+    }
+}

android/lib/src/main/java/org/vosk/Recognizer.java

@@ -0,0 +1,62 @@
+package org.vosk;
+
+import com.sun.jna.PointerType;
+
+public class Recognizer extends PointerType implements AutoCloseable {
+    public Recognizer(Model model, float sampleRate) {
+        super(LibVosk.vosk_recognizer_new(model, sampleRate));
+    }
+
+    public Recognizer(Model model, float sampleRate, SpeakerModel spkModel) {
+        super(LibVosk.vosk_recognizer_new_spk(model.getPointer(), sampleRate, spkModel.getPointer()));
+    }
+
+    public Recognizer(Model model, float sampleRate, String grammar) {
+        super(LibVosk.vosk_recognizer_new_grm(model.getPointer(), sampleRate, grammar));
+    }
+
+    public void setMaxAlternatives(int maxAlternatives) {
+        LibVosk.vosk_recognizer_set_max_alternatives(this.getPointer(), maxAlternatives);
+    }
+
+    public void setWords(boolean words) {
+        LibVosk.vosk_recognizer_set_words(this.getPointer(), words);
+    }
+
+    public void setSpeakerModel(SpeakerModel spkModel) {
+        LibVosk.vosk_recognizer_set_spk_model(this.getPointer(), spkModel.getPointer());
+    }
+
+    public boolean acceptWaveForm(byte[] data, int len) {
+        return LibVosk.vosk_recognizer_accept_waveform(this.getPointer(), data, len);
+    }
+
+    public boolean acceptWaveForm(short[] data, int len) {
+        return LibVosk.vosk_recognizer_accept_waveform_s(this.getPointer(), data, len);
+    }
+
+    public boolean acceptWaveForm(float[] data, int len) {
+        return LibVosk.vosk_recognizer_accept_waveform_f(this.getPointer(), data, len);
+    }
+
+    public String getResult() {
+        return LibVosk.vosk_recognizer_result(this.getPointer());
+    }
+
+    public String getPartialResult() {
+        return LibVosk.vosk_recognizer_partial_result(this.getPointer());
+    }
+
+    public String getFinalResult() {
+        return LibVosk.vosk_recognizer_final_result(this.getPointer());
+    }
+
+    public void reset() {
+        LibVosk.vosk_recognizer_reset(this.getPointer());
+    }
+
+    @Override
+    public void close() {
+        LibVosk.vosk_recognizer_free(this.getPointer());
+    }
+}

android/lib/src/main/java/org/vosk/SpeakerModel.java

@@ -0,0 +1,17 @@
+package org.vosk;
+
+import com.sun.jna.PointerType;
+
+public class SpeakerModel extends PointerType implements AutoCloseable {
+    public SpeakerModel() {
+    }
+
+    public SpeakerModel(String path) {
+        super(LibVosk.vosk_spk_model_new(path));
+    }
+
+    @Override
+    public void close() {
+        LibVosk.vosk_spk_model_free(this.getPointer());
+    }
+}

android/lib/src/main/java/org/vosk/android/RecognitionListener.java

@@ -12,28 +12,35 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-package org.kaldi;
+package org.vosk.android;
 
-/** Interface to receive recognition results */
+/**
+ * Interface to receive recognition results
+ */
 public interface RecognitionListener {
 
     /**
      * Called when partial recognition result is available.
      */
-    public void onPartialResult(String hypothesis);
+    void onPartialResult(String hypothesis);
 
     /**
-     * Called after the recognition is ended.
+     * Called after silence occured.
      */
-    public void onResult(String hypothesis);
+    void onResult(String hypothesis);
+
+    /**
+     * Called after stream end.
+     */
+    void onFinalResult(String hypothesis);
 
     /**
      * Called when an error occurs.
      */
-    public void onError(Exception exception);
+    void onError(Exception exception);
 
     /**
      * Called after timeout expired
      */
-    public void onTimeout();
+    void onTimeout();
 }

android/lib/src/main/java/org/vosk/android/SpeechService.java

@@ -0,0 +1,257 @@
+// Copyright 2019 Alpha Cephei Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//       http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package org.vosk.android;
+
+import android.media.AudioFormat;
+import android.media.AudioRecord;
+import android.media.MediaRecorder.AudioSource;
+import android.os.Handler;
+import android.os.Looper;
+
+import org.vosk.Recognizer;
+
+import java.io.IOException;
+
+/**
+ * Service that records audio in a thread, passes it to a recognizer and emits
+ * recognition results. Recognition events are passed to a client using
+ * {@link RecognitionListener}
+ */
+public class SpeechService {
+
+    private final Recognizer recognizer;
+
+    private final int sampleRate;
+    private final static float BUFFER_SIZE_SECONDS = 0.2f;
+    private final int bufferSize;
+    private final AudioRecord recorder;
+
+    private RecognizerThread recognizerThread;
+
+    private final Handler mainHandler = new Handler(Looper.getMainLooper());
+
+    /**
+     * Creates speech service. Service holds the AudioRecord object, so you
+     * need to call {@link #shutdown()} in order to properly finalize it.
+     *
+     * @throws IOException thrown if audio recorder can not be created for some reason.
+     */
+    public SpeechService(Recognizer recognizer, float sampleRate) throws IOException {
+        this.recognizer = recognizer;
+        this.sampleRate = (int) sampleRate;
+
+        bufferSize = Math.round(this.sampleRate * BUFFER_SIZE_SECONDS);
+        recorder = new AudioRecord(
+                AudioSource.VOICE_RECOGNITION, this.sampleRate,
+                AudioFormat.CHANNEL_IN_MONO,
+                AudioFormat.ENCODING_PCM_16BIT, bufferSize * 2);
+
+        if (recorder.getState() == AudioRecord.STATE_UNINITIALIZED) {
+            recorder.release();
+            throw new IOException(
+                    "Failed to initialize recorder. Microphone might be already in use.");
+        }
+    }
+
+
+    /**
+     * Starts recognition. Does nothing if recognition is active.
+     *
+     * @return true if recognition was actually started
+     */
+    public boolean startListening(RecognitionListener listener) {
+        if (null != recognizerThread)
+            return false;
+
+        recognizerThread = new RecognizerThread(listener);
+        recognizerThread.start();
+        return true;
+    }
+
+    /**
+     * Starts recognition. After specified timeout listening stops and the
+     * endOfSpeech signals about that. Does nothing if recognition is active.
+     * <p>
+     * timeout - timeout in milliseconds to listen.
+     *
+     * @return true if recognition was actually started
+     */
+    public boolean startListening(RecognitionListener listener, int timeout) {
+        if (null != recognizerThread)
+            return false;
+
+        recognizerThread = new RecognizerThread(listener, timeout);
+        recognizerThread.start();
+        return true;
+    }
+
+    private boolean stopRecognizerThread() {
+        if (null == recognizerThread)
+            return false;
+
+        try {
+            recognizerThread.interrupt();
+            recognizerThread.join();
+        } catch (InterruptedException e) {
+            // Restore the interrupted status.
+            Thread.currentThread().interrupt();
+        }
+
+        recognizerThread = null;
+        return true;
+    }
+
+    /**
+     * Stops recognition. Listener should receive final result if there is
+     * any. Does nothing if recognition is not active.
+     *
+     * @return true if recognition was actually stopped
+     */
+    public boolean stop() {
+        return stopRecognizerThread();
+    }
+
+    /**
+     * Cancel recognition. Do not post any new events, simply cancel processing.
+     * Does nothing if recognition is not active.
+     *
+     * @return true if recognition was actually stopped
+     */
+    public boolean cancel() {
+        if (recognizerThread != null) {
+            recognizerThread.setPause(true);
+        }
+        return stopRecognizerThread();
+    }
+
+    /**
+     * Shutdown the recognizer and release the recorder
+     */
+    public void shutdown() {
+        recorder.release();
+    }
+
+    public void setPause(boolean paused) {
+        if (recognizerThread != null) {
+            recognizerThread.setPause(paused);
+        }
+    }
+
+    /**
+     * Resets recognizer in a thread, starts recognition over again
+     */
+    public void reset() {
+        if (recognizerThread != null) {
+            recognizerThread.reset();
+        }
+    }
+
+    private final class RecognizerThread extends Thread {
+
+        private int remainingSamples;
+        private final int timeoutSamples;
+        private final static int NO_TIMEOUT = -1;
+        private volatile boolean paused = false;
+        private volatile boolean reset = false;
+
+        RecognitionListener listener;
+
+        public RecognizerThread(RecognitionListener listener, int timeout) {
+            this.listener = listener;
+            if (timeout != NO_TIMEOUT)
+                this.timeoutSamples = timeout * sampleRate / 1000;
+            else
+                this.timeoutSamples = NO_TIMEOUT;
+            this.remainingSamples = this.timeoutSamples;
+        }
+
+        public RecognizerThread(RecognitionListener listener) {
+            this(listener, NO_TIMEOUT);
+        }
+
+        /**
+         * When we are paused, don't process audio by the recognizer and don't emit
+         * any listener results
+         *
+         * @param paused the status of pause
+         */
+        public void setPause(boolean paused) {
+            this.paused = paused;
+        }
+
+        /**
+         * Set reset state to signal reset of the recognizer and start over
+         */
+        public void reset() {
+            this.reset = true;
+        }
+
+        @Override
+        public void run() {
+
+            recorder.startRecording();
+            if (recorder.getRecordingState() == AudioRecord.RECORDSTATE_STOPPED) {
+                recorder.stop();
+                IOException ioe = new IOException(
+                        "Failed to start recording. Microphone might be already in use.");
+                mainHandler.post(() -> listener.onError(ioe));
+            }
+
+            short[] buffer = new short[bufferSize];
+
+            while (!interrupted()
+                    && ((timeoutSamples == NO_TIMEOUT) || (remainingSamples > 0))) {
+                int nread = recorder.read(buffer, 0, buffer.length);
+
+                if (paused) {
+                    continue;
+                }
+
+                if (reset) {
+                    recognizer.reset();
+                    reset = false;
+                }
+
+                if (nread < 0)
+                    throw new RuntimeException("error reading audio buffer");
+
+                if (recognizer.acceptWaveForm(buffer, nread)) {
+                    final String result = recognizer.getResult();
+                    mainHandler.post(() -> listener.onResult(result));
+                } else {
+                    final String partialResult = recognizer.getPartialResult();
+                    mainHandler.post(() -> listener.onPartialResult(partialResult));
+                }
+
+                if (timeoutSamples != NO_TIMEOUT) {
+                    remainingSamples = remainingSamples - nread;
+                }
+            }
+
+            recorder.stop();
+
+            if (!paused) {
+                // If we met timeout signal that speech ended
+                if (timeoutSamples != NO_TIMEOUT && remainingSamples <= 0) {
+                    mainHandler.post(() -> listener.onTimeout());
+                } else {
+                    final String finalResult = recognizer.getFinalResult();
+                    mainHandler.post(() -> listener.onFinalResult(finalResult));
+                }
+            }
+
+        }
+    }
+}

android/lib/src/main/java/org/vosk/android/SpeechStreamService.java

@@ -0,0 +1,165 @@
+// Copyright 2019 Alpha Cephei Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//       http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package org.vosk.android;
+
+import android.os.Handler;
+import android.os.Looper;
+
+import org.vosk.Recognizer;
+
+import java.io.IOException;
+import java.io.InputStream;
+
+/**
+ * Service that recognizes stream audio in a  thread, passes it to a recognizer and emits
+ * recognition results. Recognition events are passed to a client using
+ * {@link RecognitionListener}
+ */
+public class SpeechStreamService {
+
+    private final Recognizer recognizer;
+    private final InputStream inputStream;
+    private final int sampleRate;
+    private final static float BUFFER_SIZE_SECONDS = 0.2f;
+    private final int bufferSize;
+
+    private Thread recognizerThread;
+
+    private final Handler mainHandler = new Handler(Looper.getMainLooper());
+
+    /**
+     * Creates speech service.
+     **/
+    public SpeechStreamService(Recognizer recognizer, InputStream inputStream, float sampleRate) {
+        this.recognizer = recognizer;
+        this.sampleRate = (int) sampleRate;
+        this.inputStream = inputStream;
+        bufferSize = Math.round(this.sampleRate * BUFFER_SIZE_SECONDS * 2);
+    }
+
+    /**
+     * Starts recognition. Does nothing if recognition is active.
+     *
+     * @return true if recognition was actually started
+     */
+    public boolean start(RecognitionListener listener) {
+        if (null != recognizerThread)
+            return false;
+
+        recognizerThread = new RecognizerThread(listener);
+        recognizerThread.start();
+        return true;
+    }
+
+    /**
+     * Starts recognition. After specified timeout listening stops and the
+     * endOfSpeech signals about that. Does nothing if recognition is active.
+     * <p>
+     * timeout - timeout in milliseconds to listen.
+     *
+     * @return true if recognition was actually started
+     */
+    public boolean start(RecognitionListener listener, int timeout) {
+        if (null != recognizerThread)
+            return false;
+
+        recognizerThread = new RecognizerThread(listener, timeout);
+        recognizerThread.start();
+        return true;
+    }
+
+    /**
+     * Stops recognition. All listeners should receive final result if there is
+     * any. Does nothing if recognition is not active.
+     *
+     * @return true if recognition was actually stopped
+     */
+    public boolean stop() {
+        if (null == recognizerThread)
+            return false;
+
+        try {
+            recognizerThread.interrupt();
+            recognizerThread.join();
+        } catch (InterruptedException e) {
+            // Restore the interrupted status.
+            Thread.currentThread().interrupt();
+        }
+
+        recognizerThread = null;
+        return true;
+    }
+
+    private final class RecognizerThread extends Thread {
+
+        private int remainingSamples;
+        private final int timeoutSamples;
+        private final static int NO_TIMEOUT = -1;
+        RecognitionListener listener;
+
+        public RecognizerThread(RecognitionListener listener, int timeout) {
+            this.listener = listener;
+            if (timeout != NO_TIMEOUT)
+                this.timeoutSamples = timeout * sampleRate / 1000;
+            else
+                this.timeoutSamples = NO_TIMEOUT;
+            this.remainingSamples = this.timeoutSamples;
+        }
+
+        public RecognizerThread(RecognitionListener listener) {
+            this(listener, NO_TIMEOUT);
+        }
+
+        @Override
+        public void run() {
+
+            byte[] buffer = new byte[bufferSize];
+
+            while (!interrupted()
+                    && ((timeoutSamples == NO_TIMEOUT) || (remainingSamples > 0))) {
+                try {
+                    int nread = inputStream.read(buffer, 0, buffer.length);
+                    if (nread < 0) {
+                        break;
+                    } else {
+                        boolean isSilence = recognizer.acceptWaveForm(buffer, nread);
+                        if (isSilence) {
+                            final String result = recognizer.getResult();
+                            mainHandler.post(() -> listener.onResult(result));
+                        } else {
+                            final String partialResult = recognizer.getPartialResult();
+                            mainHandler.post(() -> listener.onPartialResult(partialResult));
+                        }
+                    }
+
+                    if (timeoutSamples != NO_TIMEOUT) {
+                        remainingSamples = remainingSamples - nread;
+                    }
+
+                } catch (IOException e) {
+                    mainHandler.post(() -> listener.onError(e));
+                }
+            }
+
+            // If we met timeout signal that speech ended
+            if (timeoutSamples != NO_TIMEOUT && remainingSamples <= 0) {
+                mainHandler.post(() -> listener.onTimeout());
+            } else {
+                final String finalResult = recognizer.getFinalResult();
+                mainHandler.post(() -> listener.onFinalResult(finalResult));
+            }
+        }
+    }
+}

android/lib/src/main/java/org/vosk/android/StorageService.java

@@ -0,0 +1,150 @@
+// Copyright 2019 Alpha Cephei Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//       http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package org.vosk.android;
+
+import android.content.Context;
+import android.content.res.AssetManager;
+import android.os.Environment;
+import android.os.Handler;
+import android.os.Looper;
+import android.util.Log;
+
+import org.vosk.Model;
+
+import java.io.BufferedReader;
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.FileNotFoundException;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.io.OutputStream;
+import java.util.concurrent.Executor;
+import java.util.concurrent.Executors;
+
+/**
+ * Provides utility methods to sync model files to external storage to allow
+ * C++ code access them. Relies on file named "uuid" to track updates.
+ */
+public class StorageService {
+
+    protected static final String TAG = StorageService.class.getSimpleName();
+
+    public interface Callback<R> {
+        void onComplete(R result);
+    }
+
+    public static void unpack(Context context, String sourcePath, final String targetPath, final Callback<Model> completeCallback, final Callback<IOException> errorCallback) {
+        Executor executor = Executors.newSingleThreadExecutor(); // change according to your requirements
+        Handler handler = new Handler(Looper.getMainLooper());
+        executor.execute(() -> {
+            try {
+                final String outputPath = sync(context, sourcePath, targetPath);
+                Model model = new Model(outputPath);
+                handler.post(() -> completeCallback.onComplete(model));
+            } catch (final IOException e) {
+                handler.post(() -> errorCallback.onComplete(e));
+            }
+        });
+    }
+
+    public static String sync(Context context, String sourcePath, String targetPath) throws IOException {
+
+        AssetManager assetManager = context.getAssets();
+
+        File externalFilesDir = context.getExternalFilesDir(null);
+        if (externalFilesDir == null) {
+            throw new IOException("cannot get external files dir, "
+                    + "external storage state is " + Environment.getExternalStorageState());
+        }
+
+        File targetDir = new File(externalFilesDir, targetPath);
+        String resultPath = new File(targetDir, sourcePath).getAbsolutePath();
+        String sourceUUID = readLine(assetManager.open(sourcePath + "/uuid"));
+        try {
+            String targetUUID = readLine(new FileInputStream(new File(targetDir, sourcePath + "/uuid")));
+            if (targetUUID.equals(sourceUUID)) return resultPath;
+        } catch (FileNotFoundException e) {
+            // ignore
+        }
+        deleteContents(targetDir);
+
+        copyAssets(assetManager, sourcePath, targetDir);
+
+        // Copy uuid
+        copyFile(assetManager, sourcePath + "/uuid", targetDir);
+
+        return resultPath;
+    }
+
+    private static String readLine(InputStream is) throws IOException {
+        return new BufferedReader(new InputStreamReader(is)).readLine();
+    }
+
+    private static boolean deleteContents(File dir) {
+        File[] files = dir.listFiles();
+        boolean success = true;
+        if (files != null) {
+            for (File file : files) {
+                if (file.isDirectory()) {
+                    success &= deleteContents(file);
+                }
+                if (!file.delete()) {
+                    success = false;
+                }
+            }
+        }
+        return success;
+    }
+
+    private static void copyAssets(AssetManager assetManager, String path, File outPath) throws IOException {
+        String[] assets = assetManager.list(path);
+        if (assets == null) {
+            return;
+        }
+        if (assets.length == 0) {
+            if (!path.endsWith("uuid"))
+                copyFile(assetManager, path, outPath);
+        } else {
+            File dir = new File(outPath, path);
+            if (!dir.exists()) {
+                Log.v(TAG, "Making directory " + dir.getAbsolutePath());
+                if (!dir.mkdirs()) {
+                    Log.v(TAG, "Failed to create directory " + dir.getAbsolutePath());
+                }
+            }
+            for (String asset : assets) {
+                copyAssets(assetManager, path + "/" + asset, outPath);
+            }
+        }
+    }
+
+    private static void copyFile(AssetManager assetManager, String fileName, File outPath) throws IOException {
+        InputStream in;
+
+        Log.v(TAG, "Copy " + fileName + " to " + outPath);
+        in = assetManager.open(fileName);
+        OutputStream out = new FileOutputStream(outPath + "/" + fileName);
+
+        byte[] buffer = new byte[4000];
+        int read;
+        while ((read = in.read(buffer)) != -1) {
+            out.write(buffer, 0, read);
+        }
+        in.close();
+        out.close();
+    }
+}

android/model-en/build.gradle

@@ -0,0 +1,47 @@
+def archiveName = "vosk-model-en"
+def pomName = "Vosk English Model"
+def pomDescription = "Small English model for Android"
+
+android {
+    compileSdkVersion 29
+    defaultConfig {
+        minSdkVersion 21
+        targetSdkVersion 29
+        versionCode 6
+        versionName = version
+        archivesBaseName = archiveName
+    }
+    buildFeatures {
+        buildConfig = false
+    }
+    sourceSets {
+        main {
+            assets.srcDirs += "$buildDir/generated/assets"
+        }
+    }
+}
+
+tasks.register('genUUID') {
+    def uuid = UUID.randomUUID().toString()
+    def odir = file("$buildDir/generated/assets/model-en-us")
+    def ofile = file("$odir/uuid")
+    doLast {
+        mkdir odir
+        ofile.text = uuid
+    }
+}
+
+preBuild.dependsOn(genUUID)
+
+publishing {
+    publications {
+        aar(MavenPublication) {
+            artifactId = archiveName
+            artifact("$buildDir/outputs/aar/$archiveName-release.aar")
+            pom {
+                name = pomName
+                description = pomDescription
+            }
+        }
+    }
+}

android/model-en/src/main/AndroidManifest.xml

@@ -0,0 +1,3 @@
+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+    package="org.vosk.model.en">
+</manifest>

android/model-en/src/main/assets/model-en-us/README

@@ -0,0 +1,7 @@
+US English model for mobile Vosk applications
+
+Copyright 2020 Alpha Cephei Inc
+
+Accuracy: 10.38 (tedlium test) 9.85 (librispeech test-clean)
+Speed: 0.11xRT (desktop)
+Latency: 0.15s (right context)

android/settings.gradle

@@ -0,0 +1 @@
+include ':lib', ':model-en'

android/src/main/java/org/kaldi/Assets.java

@@ -1,268 +0,0 @@
-// Copyright 2019 Alpha Cephei Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//       http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-package org.kaldi;
-
-import java.io.BufferedReader;
-import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileOutputStream;
-import java.io.IOException;
-import java.io.InputStream;
-import java.io.InputStreamReader;
-import java.io.OutputStream;
-import java.io.PrintWriter;
-import java.io.Reader;
-import java.util.ArrayDeque;
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-import java.util.Queue;
-
-import android.content.Context;
-import android.content.res.AssetManager;
-import android.os.Environment;
-import android.util.Log;
-
-/**
- * Provides utility methods to keep asset files to external storage to allow
- * further JNI code access assets from a filesystem.
- * 
- * There must be special file {@value #ASSET_LIST_NAME} among the application
- * assets containing relative paths of assets to synchronize. If the
- * corresponding path does not exist on the external storage it is copied. If
- * the path exists checksums are compared and the asset is copied only if there
- * is a mismatch. Checksum is stored in a separate asset with the name that
- * consists of the original name and a suffix that depends on the checksum
- * algorithm (e.g. MD5). Checksum files are copied along with the corresponding
- * asset files.
- * 
- * @author Alexander Solovets
- */
-public class Assets {
-
-    protected static final String TAG = Assets.class.getSimpleName();
-
-    public static final String ASSET_LIST_NAME = "assets.lst";
-    public static final String SYNC_DIR = "sync";
-    public static final String HASH_EXT = ".md5";
-
-    private final AssetManager assetManager;
-    private final File externalDir;
-
-    /**
-     * Creates new instance for asset synchronization
-     * 
-     * @param context
-     *            application context
-     * 
-     * @throws IOException
-     *             if the directory does not exist
-     * 
-     * @see android.content.Context#getExternalFilesDir
-     * @see android.os.Environment#getExternalStorageState
-     */
-    public Assets(Context context) throws IOException {
-        File appDir = context.getExternalFilesDir(null);
-        if (null == appDir)
-            throw new IOException("cannot get external files dir, "
-                    + "external storage state is " + Environment.getExternalStorageState());
-        externalDir = new File(appDir, SYNC_DIR);
-        assetManager = context.getAssets();
-    }
-
-    /**
-     * Creates new instance with specified destination for assets
-     * 
-     * @param context
-     *            application context to retrieve the assets
-     * @param path
-     *            path to sync the files
-     */ 
-    public Assets(Context context, String dest) {
-        externalDir = new File(dest);
-        assetManager = context.getAssets();
-    }
-
-    /**
-     * Returns destination path on external storage where assets are copied.
-     * 
-     * @return path to application directory or null if it does not exists
-     */
-    public File getExternalDir() {
-        return externalDir;
-    }
-
-    /**
-     * Returns the map of asset paths to the files checksums.
-     * 
-     * @return path to the root of resources directory on external storage
-     * @throws IOException
-     *             if an I/O error occurs or "assets.lst" is missing
-     */
-    public Map<String, String> getItems() throws IOException {
-        Map<String, String> items = new HashMap<String, String>();
-        for (String path : readLines(openAsset(ASSET_LIST_NAME))) {
-            Reader reader = new InputStreamReader(openAsset(path + HASH_EXT));
-            items.put(path, new BufferedReader(reader).readLine());
-        }
-        return items;
-    }
-
-    /**
-     * Returns path to hash mappings for the previously copied files. This
-     * method can be used to find out assets which must be updated.
-     */
-    public Map<String, String> getExternalItems() {
-        try {
-            Map<String, String> items = new HashMap<String, String>();
-            File assetFile = new File(externalDir, ASSET_LIST_NAME);
-            for (String line : readLines(new FileInputStream(assetFile))) {
-                String[] fields = line.split(" ");
-                items.put(fields[0], fields[1]);
-            }
-            return items;
-        } catch (IOException e) {
-            return Collections.emptyMap();
-        }
-    }
-
-    /**
-     * In case you want to create more smart sync implementation, this method
-     * returns the list of items which must be synchronized.
-     */
-    public Collection<String> getItemsToCopy(String path) throws IOException {
-        Collection<String> items = new ArrayList<String>();
-        Queue<String> queue = new ArrayDeque<String>();
-        queue.offer(path);
-
-        while (!queue.isEmpty()) {
-            path = queue.poll();
-            String[] list = assetManager.list(path);
-            for (String nested : list)
-                queue.offer(nested);
-
-            if (list.length == 0)
-                items.add(path);
-        }
-
-        return items;
-    }
-
-    private List<String> readLines(InputStream source) throws IOException {
-        List<String> lines = new ArrayList<String>();
-        BufferedReader br = new BufferedReader(new InputStreamReader(source));
-        String line;
-        while (null != (line = br.readLine()))
-            lines.add(line);
-        return lines;
-    }
-
-    private InputStream openAsset(String asset) throws IOException {
-        return assetManager.open(new File(SYNC_DIR, asset).getPath());
-    }
-
-    /**
-     * Saves the list of synchronized items. The list is stored as a two-column
-     * space-separated list of items in a text file. The file is located at the
-     * root of synchronization directory in the external storage.
-     * 
-     * @param items
-     *            the items
-     * @throws IOException
-     *             if an I/O error occurs
-     */
-    public void updateItemList(Map<String, String> items) throws IOException {
-        File assetListFile = new File(externalDir, ASSET_LIST_NAME);
-        PrintWriter pw = new PrintWriter(new FileOutputStream(assetListFile));
-        for (Map.Entry<String, String> entry : items.entrySet())
-            pw.format("%s %s\n", entry.getKey(), entry.getValue());
-        pw.close();
-    }
-
-    /**
-     * Copies raw asset resource to external storage of the device.
-     * 
-     * @param path
-     *            path of the asset to copy
-     * @throws IOException
-     *             if an I/O error occurs
-     */
-    public File copy(String asset) throws IOException {
-        InputStream source = openAsset(asset);
-        File destinationFile = new File(externalDir, asset);
-        destinationFile.getParentFile().mkdirs();
-        OutputStream destination = new FileOutputStream(destinationFile);
-        byte[] buffer = new byte[1024];
-        int nread;
-
-        while ((nread = source.read(buffer)) != -1) {
-            if (nread == 0) {
-                nread = source.read();
-                if (nread < 0)
-                    break;
-                destination.write(nread);
-                continue;
-            }
-            destination.write(buffer, 0, nread);
-        }
-        destination.close();
-        return destinationFile;
-    }
-
-    /**
-     * Performs the sync of assets in the application and on the external
-     * storage
-     * 
-     * @return The folder on external storage with data
-     * @throws IOException
-     */
-    public File syncAssets() throws IOException {
-        Collection<String> newItems = new ArrayList<String>();
-        Collection<String> unusedItems = new ArrayList<String>();
-        Map<String, String> items = getItems();
-        Map<String, String> externalItems = getExternalItems();
-
-        for (String path : items.keySet()) {
-            if (!items.get(path).equals(externalItems.get(path))
-                    || !(new File(externalDir, path).exists()))
-                newItems.add(path);
-            else
-                Log.i(TAG,
-                        String.format("Skipping asset %s: checksums are equal", path));
-
-        }
-
-        unusedItems.addAll(externalItems.keySet());
-        unusedItems.removeAll(items.keySet());
-
-        for (String path : newItems) {
-            File file = copy(path);
-            Log.i(TAG, String.format("Copying asset %s to %s", path, file));
-        }
-
-        for (String path : unusedItems) {
-            File file = new File(externalDir, path);
-            file.delete();
-            Log.i(TAG, String.format("Removing asset %s", file));
-        }
-
-        updateItemList(items);
-        return externalDir;
-    }
-
-}

android/src/main/java/org/kaldi/SpeechRecognizer.java

@@ -1,292 +0,0 @@
-// Copyright 2019 Alpha Cephei Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//       http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-package org.kaldi;
-
-import static java.lang.String.format;
-
-import java.io.File;
-import java.io.IOException;
-import java.util.Collection;
-import java.util.HashSet;
-
-import android.media.AudioFormat;
-import android.media.AudioRecord;
-import android.media.MediaRecorder.AudioSource;
-import android.os.Handler;
-import android.os.Looper;
-import android.util.Log;
-
-/**
- * Main class to access recognizer functions. After configuration this class
- * starts a listener thread which records the data and recognizes it using
- * Pocketsphinx engine. Recognition events are passed to a client using
- * {@link RecognitionListener}
- * 
- */
-public class SpeechRecognizer {
-
-    protected static final String TAG = SpeechRecognizer.class.getSimpleName();
-
-    private final KaldiRecognizer recognizer;
-
-    private final int sampleRate;        
-    private final static float BUFFER_SIZE_SECONDS = 0.4f;
-    private int bufferSize;
-    private final AudioRecord recorder;
-    
-    private Thread recognizerThread;
-
-    private final Handler mainHandler = new Handler(Looper.getMainLooper());
-    
-    private final Collection<RecognitionListener> listeners = new HashSet<RecognitionListener>();
-    
-    /**
-     * Creates speech recognizer. Recognizer holds the AudioRecord object, so you 
-     * need to call {@link release} in order to properly finalize it.
-     * 
-     * @throws IOException thrown if audio recorder can not be created for some reason.
-     */
-    public SpeechRecognizer(Model model) throws IOException {
-        recognizer = new KaldiRecognizer(model, 16000.0f);
-        sampleRate = 16000;
-        bufferSize = Math.round(sampleRate * BUFFER_SIZE_SECONDS);
-        recorder = new AudioRecord(
-                AudioSource.VOICE_RECOGNITION, sampleRate,
-                AudioFormat.CHANNEL_IN_MONO,
-                AudioFormat.ENCODING_PCM_16BIT, bufferSize * 2);
-
-        if (recorder.getState() == AudioRecord.STATE_UNINITIALIZED) {
-            recorder.release();
-            throw new IOException(
-                    "Failed to initialize recorder. Microphone might be already in use.");
-        }
-    }
-
-    /**
-     * Adds listener.
-     */
-    public void addListener(RecognitionListener listener) {
-        synchronized (listeners) {
-            listeners.add(listener);
-        }
-    }
-
-    /**
-     * Removes listener.
-     */
-    public void removeListener(RecognitionListener listener) {
-        synchronized (listeners) {
-            listeners.remove(listener);
-        }
-    }
-
-    /**
-     * Starts recognition. Does nothing if recognition is active.
-     * 
-     * @return true if recognition was actually started
-     */
-    public boolean startListening() {
-        if (null != recognizerThread)
-            return false;
-
-        recognizerThread = new RecognizerThread();
-        recognizerThread.start();
-        return true;
-    }
-
-    /**
-     * Starts recognition. After specified timeout listening stops and the
-     * endOfSpeech signals about that. Does nothing if recognition is active.
-     * 
-     * @timeout - timeout in milliseconds to listen.
-     * 
-     * @return true if recognition was actually started
-     */
-    public boolean startListening(int timeout) {
-        if (null != recognizerThread)
-            return false;
-
-        recognizerThread = new RecognizerThread(timeout);
-        recognizerThread.start();
-        return true;
-    }
-
-    private boolean stopRecognizerThread() {
-        if (null == recognizerThread)
-            return false;
-
-        try {
-            recognizerThread.interrupt();
-            recognizerThread.join();
-        } catch (InterruptedException e) {
-            // Restore the interrupted status.
-            Thread.currentThread().interrupt();
-        }
-
-        recognizerThread = null;
-        return true;
-    }
-
-    /**
-     * Stops recognition. All listeners should receive final result if there is
-     * any. Does nothing if recognition is not active.
-     * 
-     * @return true if recognition was actually stopped
-     */
-    public boolean stop() {
-        boolean result = stopRecognizerThread();
-        if (result) {
-            Log.i(TAG, "Stop recognition");
-            mainHandler.post(new ResultEvent(recognizer.FinalResult(), true));
-        }
-        return result;
-    }
-
-    /**
-     * Cancels recognition. Listeners do not receive final result. Does nothing
-     * if recognition is not active.
-     * 
-     * @return true if recognition was actually canceled
-     */
-    public boolean cancel() {
-        boolean result = stopRecognizerThread();
-        if (result) {
-            Log.i(TAG, "Cancel recognition");
-        }
-
-        return result;
-    }
-    
-    /**
-     * Shutdown the recognizer and release the recorder
-     */
-    public void shutdown() {
-        recorder.release();
-    }
-    
-    private final class RecognizerThread extends Thread {
-        
-        private int remainingSamples;
-        private int timeoutSamples;
-        private final static int NO_TIMEOUT = -1;
-
-        public RecognizerThread(int timeout) {
-            if (timeout != NO_TIMEOUT)
-                this.timeoutSamples = timeout * sampleRate / 1000;
-            else
-                this.timeoutSamples = NO_TIMEOUT;
-            this.remainingSamples = this.timeoutSamples;
-        }
-
-        public RecognizerThread() {
-            this(NO_TIMEOUT);
-        }
-
-        @Override
-        public void run() {
-
-            recorder.startRecording();
-            if (recorder.getRecordingState() == AudioRecord.RECORDSTATE_STOPPED) {
-                recorder.stop();
-                IOException ioe = new IOException(
-                        "Failed to start recording. Microphone might be already in use.");
-                mainHandler.post(new OnErrorEvent(ioe));
-                return;
-            }
-
-            Log.d(TAG, "Starting decoding");
-
-            short[] buffer = new short[bufferSize];
-
-            while (!interrupted()
-                    && ((timeoutSamples == NO_TIMEOUT) || (remainingSamples > 0))) {
-                int nread = recorder.read(buffer, 0, buffer.length);
-
-                if (nread < 0) {
-                    throw new RuntimeException("error reading audio buffer");
-                } else {
-                    boolean isFinal = recognizer.AcceptWaveform(buffer, nread);
-                    if (isFinal) {
-                        mainHandler.post(new ResultEvent(recognizer.Result(), true));
-                    } else {
-                        mainHandler.post(new ResultEvent(recognizer.PartialResult(), false));
-                    }
-                }
-
-                if (timeoutSamples != NO_TIMEOUT) {
-                    remainingSamples = remainingSamples - nread;
-                }
-            }
-
-            recorder.stop();
-
-            // Remove all pending notifications.
-            mainHandler.removeCallbacksAndMessages(null);
-
-            // If we met timeout signal that speech ended
-            if (timeoutSamples != NO_TIMEOUT && remainingSamples <= 0) {
-                mainHandler.post(new TimeoutEvent());
-            }
-        }
-    }
-
-    private abstract class RecognitionEvent implements Runnable {
-        public void run() {
-            RecognitionListener[] emptyArray = new RecognitionListener[0];
-            for (RecognitionListener listener : listeners.toArray(emptyArray))
-                execute(listener);
-        }
-
-        protected abstract void execute(RecognitionListener listener);
-    }
-
-    private class ResultEvent extends RecognitionEvent {
-        protected final String hypothesis;
-        private final boolean finalResult;
-
-        ResultEvent(String hypothesis, boolean finalResult) {
-            this.hypothesis = hypothesis;
-            this.finalResult = finalResult;
-        }
-
-        @Override
-        protected void execute(RecognitionListener listener) {
-            if (finalResult)
-                listener.onResult(hypothesis);
-            else
-                listener.onPartialResult(hypothesis);
-        }
-    }
-
-    private class OnErrorEvent extends RecognitionEvent {
-        private final Exception exception;
-
-        OnErrorEvent(Exception exception) {
-            this.exception = exception;
-        }
-
-        @Override
-        protected void execute(RecognitionListener listener) {
-            listener.onError(exception);
-        }
-    }
-
-    private class TimeoutEvent extends RecognitionEvent {
-        @Override
-        protected void execute(RecognitionListener listener) {
-            listener.onTimeout();
-        }
-    }
-}

c/Makefile

@@ -0,0 +1,16 @@
+CFLAGS=-I../src
+LDFLAGS=-L../src -lvosk -ldl -lpthread -Wl,-rpath=../src
+
+all: test_vosk test_vosk_speaker
+
+test_vosk: test_vosk.o
+	g++ $^ -o $@ $(LDFLAGS)
+
+test_vosk_speaker: test_vosk_speaker.o
+	g++ $^ -o $@ $(LDFLAGS)
+
+%.o: %.c
+	g++ $(CFLAGS) -c -o $@ $<
+
+clean:
+	rm -f *.o *.a test_vosk test_vosk_speaker

c/test_vosk.c

@@ -0,0 +1,29 @@
+#include <vosk_api.h>
+#include <stdio.h>
+
+int main() {
+    FILE *wavin;
+    char buf[3200];
+    int nread, final;
+
+    VoskModel *model = vosk_model_new("model");
+    VoskRecognizer *recognizer = vosk_recognizer_new(model, 16000.0);
+
+    wavin = fopen("test.wav", "rb");
+    fseek(wavin, 44, SEEK_SET);
+    while (!feof(wavin)) {
+         nread = fread(buf, 1, sizeof(buf), wavin);
+         final = vosk_recognizer_accept_waveform(recognizer, buf, nread);
+         if (final) {
+             printf("%s\n", vosk_recognizer_result(recognizer));
+         } else {
+             printf("%s\n", vosk_recognizer_partial_result(recognizer));
+         }
+    }
+    printf("%s\n", vosk_recognizer_final_result(recognizer));
+
+    vosk_recognizer_free(recognizer);
+    vosk_model_free(model);
+    fclose(wavin);
+    return 0;
+}

c/test_vosk_speaker.c

@@ -0,0 +1,30 @@
+#include <vosk_api.h>
+#include <stdio.h>
+
+int main() {
+    FILE *wavin;
+    char buf[3200];
+    int nread, final;
+
+    VoskModel *model = vosk_model_new("model");
+    VoskSpkModel *spk_model = vosk_spk_model_new("spk-model");
+    VoskRecognizer *recognizer = vosk_recognizer_new_spk(model, 16000.0, spk_model);
+
+    wavin = fopen("test.wav", "rb");
+    fseek(wavin, 44, SEEK_SET);
+    while (!feof(wavin)) {
+         nread = fread(buf, 1, sizeof(buf), wavin);
+         final = vosk_recognizer_accept_waveform(recognizer, buf, nread);
+         if (final) {
+             printf("%s\n", vosk_recognizer_result(recognizer));
+         } else {
+             printf("%s\n", vosk_recognizer_partial_result(recognizer));
+         }
+    }
+    printf("%s\n", vosk_recognizer_final_result(recognizer));
+
+    vosk_recognizer_free(recognizer);
+    vosk_spk_model_free(spk_model);
+    vosk_model_free(model);
+    return 0;
+}

csharp/Makefile

@@ -1,48 +0,0 @@
-KALDI_ROOT ?= $(HOME)/kaldi
-CFLAGS :=  -std=c++11 -g -O2 -DPIC -fPIC -Wno-unused-function
-CPPFLAGS := -I$(KALDI_ROOT)/src -I$(KALDI_ROOT)/tools/openfst/include -I../src -DFST_NO_DYNAMIC_LINKING
-
-KALDI_LIBS = \
-             ${KALDI_ROOT}/src/online2/kaldi-online2.a \
-             ${KALDI_ROOT}/src/decoder/kaldi-decoder.a \
-             ${KALDI_ROOT}/src/ivector/kaldi-ivector.a \
-             ${KALDI_ROOT}/src/gmm/kaldi-gmm.a \
-             ${KALDI_ROOT}/src/nnet3/kaldi-nnet3.a \
-             ${KALDI_ROOT}/src/tree/kaldi-tree.a \
-             ${KALDI_ROOT}/src/feat/kaldi-feat.a \
-             ${KALDI_ROOT}/src/lat/kaldi-lat.a \
-             ${KALDI_ROOT}/src/hmm/kaldi-hmm.a \
-             ${KALDI_ROOT}/src/transform/kaldi-transform.a \
-             ${KALDI_ROOT}/src/cudamatrix/kaldi-cudamatrix.a \
-             ${KALDI_ROOT}/src/matrix/kaldi-matrix.a \
-             ${KALDI_ROOT}/src/fstext/kaldi-fstext.a \
-             ${KALDI_ROOT}/src/util/kaldi-util.a \
-             ${KALDI_ROOT}/src/base/kaldi-base.a \
-             ${KALDI_ROOT}/tools/openfst/lib/libfst.a \
-             ${KALDI_ROOT}/tools/openfst/lib/libfstngram.a \
-             ${KALDI_ROOT}/tools/OpenBLAS/libopenblas.a \
-             -lgfortran
-
-all: test.exe
-
-test.exe: libkaldiwrap.so test.cs
-	mcs test.cs gen/*.cs
-
-VOSK_SOURCES = \
-	vosk_wrap.cc \
-	../src/kaldi_recognizer.cc \
-	../src/kaldi_recognizer.h \
-	../src/model.cc \
-	../src/model.h \
-	../src/spk_model.cc \
-	../src/spk_model.h
-
-libkaldiwrap.so: $(VOSK_SOURCES)
-	$(CXX) -fpermissive $(CFLAGS) $(CPPFLAGS) -shared -o $@ $(VOSK_SOURCES) $(KALDI_LIBS)
-
-vosk_wrap.cc: ../src/vosk.i
-	swig -csharp -dllimport "libkaldiwrap.so" \
-	    -namespace "Kaldi" -c++ -outdir gen -o vosk_wrap.cc ../src/vosk.i
-
-clean:
-	$(RM) *.so vosk_wrap.cc *.o gen/*.cs test.exe

csharp/README.md

@@ -0,0 +1,12 @@
+This is a nuget-based wrapper for libvosk library
+
+See demo folder for example how to use the library. You can simply run
+"dotnet run" to run the demo. Make sure you unpacked the model and the
+test file.
+
+See the nuget folder for the sources of the wrapper. Run build.sh to
+build nuget package.
+
+Note we only support win64 and linux64 for now. No support for win32
+since it is a little bit painful to load the libraries depending on
+architecture. In theory we can add OSX some time or even Android.

csharp/demo/VoskDemo.cs

@@ -1,14 +1,57 @@
 using System;
 using System.IO;
-using Kaldi;
+using Vosk;
 
-public class Test
+public class VoskDemo
 {
-   public static void Main()
+   public static void DemoBytes(Model model)
    {
+        // Demo byte buffer
+        VoskRecognizer rec = new VoskRecognizer(model, 16000.0f);
+        rec.SetMaxAlternatives(0);
+        rec.SetWords(true);
+        using(Stream source = File.OpenRead("test.wav")) {
+            byte[] buffer = new byte[4096];
+            int bytesRead;
+            while((bytesRead = source.Read(buffer, 0, buffer.Length)) > 0) {
+                if (rec.AcceptWaveform(buffer, bytesRead)) {
+                    Console.WriteLine(rec.Result());
+                } else {
+                    Console.WriteLine(rec.PartialResult());
+                }
+            }
+        }
+        Console.WriteLine(rec.FinalResult());
+   }
 
-        Model model = new Model("model");
-        KaldiRecognizer rec = new KaldiRecognizer(model, 16000.0f);
+   public static void DemoFloats(Model model)
+   {
+        // Demo float array
+        VoskRecognizer rec = new VoskRecognizer(model, 16000.0f);
+        using(Stream source = File.OpenRead("test.wav")) {
+            byte[] buffer = new byte[4096];
+            int bytesRead;
+            while((bytesRead = source.Read(buffer, 0, buffer.Length)) > 0) {
+                float[] fbuffer = new float[bytesRead / 2];
+                for (int i = 0, n = 0; i < fbuffer.Length; i++, n+=2) {
+                    fbuffer[i] = (short)(buffer[n] | buffer[n+1] << 8);
+                }
+                if (rec.AcceptWaveform(fbuffer, fbuffer.Length)) {
+                    Console.WriteLine(rec.Result());
+                } else {
+                    Console.WriteLine(rec.PartialResult());
+                }
+            }
+        }
+        Console.WriteLine(rec.FinalResult());
+   }
+
+   public static void DemoSpeaker(Model model)
+   {
+        // Output speakers
+        SpkModel spkModel = new SpkModel("model-spk");
+        VoskRecognizer rec = new VoskRecognizer(model, 16000.0f);
+        rec.SetSpkModel(spkModel);
 
         using(Stream source = File.OpenRead("test.wav")) {
             byte[] buffer = new byte[4096];
@@ -22,25 +65,16 @@ public class Test
             }
         }
         Console.WriteLine(rec.FinalResult());
+   }
 
-        rec = new KaldiRecognizer(model, 16000.0f);
+   public static void Main()
+   {
+        // You can set to -1 to disable logging messages
+        Vosk.Vosk.SetLogLevel(0);
 
-        using(Stream source = File.OpenRead("test.wav")) {
-            byte[] buffer = new byte[4096];
-            int bytesRead;
-            while((bytesRead = source.Read(buffer, 0, buffer.Length)) > 0) {
-                float[] fbuffer = new float[bytesRead / 2];
-                for (int i = 0, n = 0; i < fbuffer.Length; i++, n+=2) {
-                    fbuffer[i] = (short)(buffer[n] | buffer[n+1] << 8);
-                }
-                if (rec.AcceptWaveform(fbuffer, fbuffer.Length)) {
-                    Console.WriteLine(rec.Result());
-                    GC.Collect();
-                } else {
-                    Console.WriteLine(rec.PartialResult());
-                }
-            }
-        }
-        Console.WriteLine(rec.FinalResult());
+        Model model = new Model("model");
+        DemoBytes(model);
+        DemoFloats(model);
+        DemoSpeaker(model);
    }
 }

csharp/demo/VoskDemo.csproj

@@ -0,0 +1,17 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net5.0</TargetFramework>
+    <RootNamespace>VoskDemo</RootNamespace>
+  </PropertyGroup>
+
+  <PropertyGroup>
+    <RestoreSources>$(RestoreSources);../nuget</RestoreSources>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Vosk" Version="0.3.30" />
+  </ItemGroup>
+
+</Project>

csharp/nuget/Vosk.nuspec

@@ -0,0 +1,30 @@
+<?xml version="1.0"?>
+<package>
+  <metadata>
+    <id>Vosk</id>
+    <version>0.3.30</version>
+    <authors>Alpha Cephei Inc</authors>
+    <owners>Alpha Cephei Inc</owners>
+    <license type="expression">Apache-2.0</license>
+    <projectUrl>https://alphacephei.com/vosk/</projectUrl>
+    <requireLicenseAcceptance>false</requireLicenseAcceptance>
+    <description>Vosk is an offline open source speech recognition toolkit. It enables speech recognition models for 16 languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi.
+
+Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification.
+
+Speech recognition bindings implemented for various programming languages like Python, Java, Node.JS, C#, C++ and others.
+
+Vosk supplies speech recognition for chatbots, smart home appliances, virtual assistants. It can also create subtitles for movies, transcription for lectures and interviews.
+
+Vosk scales from small devices like Raspberry Pi or Android smartphone to big clusters.</description>
+    <releaseNotes>See for details https://github.com/alphacep/vosk-api/releases</releaseNotes>
+    <copyright>Copyright 2020 Alpha Cephei Inc</copyright>
+    <tags>speech recognition voice stt asr speech-to-text ai offline privacy</tags>
+    <dependencies>
+      <group targetFramework=".NETStandard2.0"/>
+    </dependencies>
+  </metadata>
+  <files>
+    <file src="**" exclude="src/*.cs;build.sh;**/.keep-me;*.nupkg" />
+  </files>
+</package>

csharp/nuget/build.sh

@@ -0,0 +1,2 @@
+mcs -out:lib/netstandard2.0/Vosk.dll -target:library src/*.cs
+nuget pack

csharp/nuget/build/Vosk.targets

@@ -0,0 +1,11 @@
+<Project xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup>
+    <NativeLibs Include="$(MSBuildThisFileDirectory)\lib\linux-x64\*.so" Condition="'$([MSBuild]::IsOsPlatform(Linux))'" />
+    <NativeLibs Include="$(MSBuildThisFileDirectory)\lib\win-x64\*.dll" Condition="'$([MSBuild]::IsOsPlatform(Windows))'" />
+    <NativeLibs Include="$(MSBuildThisFileDirectory)\lib\osx-x64\*.dylib" Condition="'$([MSBuild]::IsOsPlatform(OSX))'" />
+    <None Include="@(NativeLibs)">
+      <Link>%(FileName)%(Extension)</Link>
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+    </None>
+  </ItemGroup>
+</Project>

csharp/nuget/src/Model.cs

@@ -0,0 +1,41 @@
+namespace Vosk {
+
+public class Model : global::System.IDisposable {
+  private global::System.Runtime.InteropServices.HandleRef handle;
+
+  internal Model(global::System.IntPtr cPtr) {
+    handle = new global::System.Runtime.InteropServices.HandleRef(this, cPtr);
+  }
+
+  internal static global::System.Runtime.InteropServices.HandleRef getCPtr(Model obj) {
+    return (obj == null) ? new global::System.Runtime.InteropServices.HandleRef(null, global::System.IntPtr.Zero) : obj.handle;
+  }
+
+  ~Model() {
+    Dispose(false);
+  }
+
+  public void Dispose() {
+    Dispose(true);
+    global::System.GC.SuppressFinalize(this);
+  }
+
+  protected virtual void Dispose(bool disposing) {
+    lock(this) {
+      if (handle.Handle != global::System.IntPtr.Zero) {
+        VoskPINVOKE.delete_Model(handle);
+        handle = new global::System.Runtime.InteropServices.HandleRef(null, global::System.IntPtr.Zero);
+      }
+    }
+  }
+
+  public Model(string model_path) : this(VoskPINVOKE.new_Model(model_path)) {
+  }
+
+  public int vosk_model_find_word(string word) {
+    return VoskPINVOKE.Model_vosk_model_find_word(handle, word);
+  }
+
+}
+
+}

csharp/nuget/src/SpkModel.cs

@@ -0,0 +1,37 @@
+namespace Vosk {
+
+public class SpkModel : global::System.IDisposable {
+  private global::System.Runtime.InteropServices.HandleRef handle;
+
+  internal SpkModel(global::System.IntPtr cPtr) {
+    handle = new global::System.Runtime.InteropServices.HandleRef(this, cPtr);
+  }
+
+  internal static global::System.Runtime.InteropServices.HandleRef getCPtr(SpkModel obj) {
+    return (obj == null) ? new global::System.Runtime.InteropServices.HandleRef(null, global::System.IntPtr.Zero) : obj.handle;
+  }
+
+  ~SpkModel() {
+    Dispose(false);
+  }
+
+  public void Dispose() {
+    Dispose(true);
+    global::System.GC.SuppressFinalize(this);
+  }
+
+  protected virtual void Dispose(bool disposing) {
+    lock(this) {
+      if (handle.Handle != global::System.IntPtr.Zero) {
+        VoskPINVOKE.delete_SpkModel(handle);
+        handle = new global::System.Runtime.InteropServices.HandleRef(null, global::System.IntPtr.Zero);
+      }
+    }
+  }
+
+  public SpkModel(string model_path) : this(VoskPINVOKE.new_SpkModel(model_path)) {
+  }
+
+}
+
+}

csharp/nuget/src/Vosk.cs

@@ -0,0 +1,17 @@
+namespace Vosk {
+
+public class Vosk {
+  public static void SetLogLevel(int level) {
+    VoskPINVOKE.SetLogLevel(level);
+  }
+
+  public static void GpuInit() {
+    VoskPINVOKE.GpuInit();
+  }
+
+  public static void GpuThreadInit() {
+    VoskPINVOKE.GpuThreadInit();
+  }
+}
+
+}

csharp/nuget/src/VoskPINVOKE.cs

@@ -0,0 +1,75 @@
+namespace Vosk {
+
+class VoskPINVOKE {
+
+  static VoskPINVOKE() {
+  }
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_model_new")]
+  public static extern global::System.IntPtr new_Model(string jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_model_free")]
+  public static extern void delete_Model(global::System.Runtime.InteropServices.HandleRef jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_model_find_word")]
+  public static extern int Model_vosk_model_find_word(global::System.Runtime.InteropServices.HandleRef jarg1, string jarg2);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_spk_model_new")]
+  public static extern global::System.IntPtr new_SpkModel(string jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_spk_model_free")]
+  public static extern void delete_SpkModel(global::System.Runtime.InteropServices.HandleRef jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_new")]
+  public static extern global::System.IntPtr new_VoskRecognizer(global::System.Runtime.InteropServices.HandleRef jarg1, float jarg2);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_new_spk")]
+  public static extern global::System.IntPtr new_VoskRecognizerSpk(global::System.Runtime.InteropServices.HandleRef jarg1, float jarg2, global::System.Runtime.InteropServices.HandleRef jarg3);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_new_grm")]
+  public static extern global::System.IntPtr new_VoskRecognizerGrm(global::System.Runtime.InteropServices.HandleRef jarg1, float jarg2, string jarg3);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_free")]
+  public static extern void delete_VoskRecognizer(global::System.Runtime.InteropServices.HandleRef jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_set_max_alternatives")]
+  public static extern void VoskRecognizer_SetMaxAlternatives(global::System.Runtime.InteropServices.HandleRef jarg1, int jarg2);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_set_words")]
+  public static extern void VoskRecognizer_SetWords(global::System.Runtime.InteropServices.HandleRef jarg1, int jarg2);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_set_spk_model")]
+  public static extern void VoskRecognizer_SetSpkModel(global::System.Runtime.InteropServices.HandleRef jarg1, global::System.Runtime.InteropServices.HandleRef jarg2);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_accept_waveform")]
+  public static extern bool VoskRecognizer_AcceptWaveform(global::System.Runtime.InteropServices.HandleRef jarg1, [global::System.Runtime.InteropServices.In, global::System.Runtime.InteropServices.MarshalAs(global::System.Runtime.InteropServices.UnmanagedType.LPArray)]byte[] jarg2, int jarg3);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_accept_waveform_s")]
+  public static extern bool VoskRecognizer_AcceptWaveformShort(global::System.Runtime.InteropServices.HandleRef jarg1, [global::System.Runtime.InteropServices.In, global::System.Runtime.InteropServices.MarshalAs(global::System.Runtime.InteropServices.UnmanagedType.LPArray)]short[] jarg2, int jarg3);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_accept_waveform_f")]
+  public static extern bool VoskRecognizer_AcceptWaveformFloat(global::System.Runtime.InteropServices.HandleRef jarg1, [global::System.Runtime.InteropServices.In, global::System.Runtime.InteropServices.MarshalAs(global::System.Runtime.InteropServices.UnmanagedType.LPArray)]float[] jarg2, int jarg3);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_result")]
+  public static extern global::System.IntPtr VoskRecognizer_Result(global::System.Runtime.InteropServices.HandleRef jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_partial_result")]
+  public static extern global::System.IntPtr VoskRecognizer_PartialResult(global::System.Runtime.InteropServices.HandleRef jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_final_result")]
+  public static extern global::System.IntPtr VoskRecognizer_FinalResult(global::System.Runtime.InteropServices.HandleRef jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_recognizer_reset")]
+  public static extern void VoskRecognizer_Reset(global::System.Runtime.InteropServices.HandleRef jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_set_log_level")]
+  public static extern void SetLogLevel(int jarg1);
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_gpu_init")]
+  public static extern void GpuInit();
+
+  [global::System.Runtime.InteropServices.DllImport("libvosk", EntryPoint="vosk_gpu_thread_init")]
+  public static extern void GpuThreadInit();
+}
+
+}

csharp/nuget/src/VoskRecognizer.cs

@@ -0,0 +1,92 @@
+namespace Vosk {
+
+public class VoskRecognizer : System.IDisposable {
+  private System.Runtime.InteropServices.HandleRef handle;
+
+  internal VoskRecognizer(System.IntPtr cPtr) {
+    handle = new System.Runtime.InteropServices.HandleRef(this, cPtr);
+  }
+
+  internal static System.Runtime.InteropServices.HandleRef getCPtr(VoskRecognizer obj) {
+    return (obj == null) ? new System.Runtime.InteropServices.HandleRef(null, System.IntPtr.Zero) : obj.handle;
+  }
+
+  ~VoskRecognizer() {
+    Dispose(false);
+  }
+
+  public void Dispose() {
+    Dispose(true);
+    System.GC.SuppressFinalize(this);
+  }
+
+  protected virtual void Dispose(bool disposing) {
+    lock(this) {
+      if (handle.Handle != System.IntPtr.Zero) {
+        VoskPINVOKE.delete_VoskRecognizer(handle);
+        handle = new System.Runtime.InteropServices.HandleRef(null, System.IntPtr.Zero);
+      }
+    }
+  }
+
+  public VoskRecognizer(Model model, float sample_rate) : this(VoskPINVOKE.new_VoskRecognizer(Model.getCPtr(model), sample_rate)) {
+  }
+
+  public VoskRecognizer(Model model, float sample_rate, SpkModel spk_model) : this(VoskPINVOKE.new_VoskRecognizerSpk(Model.getCPtr(model), sample_rate, SpkModel.getCPtr(spk_model))) {
+  }
+
+  public VoskRecognizer(Model model, float sample_rate, string grammar) : this(VoskPINVOKE.new_VoskRecognizerGrm(Model.getCPtr(model), sample_rate, grammar)) {
+  }
+
+  public void SetMaxAlternatives(int max_alternatives) {
+    VoskPINVOKE.VoskRecognizer_SetMaxAlternatives(handle, max_alternatives);
+  }
+
+  public void SetWords(bool words) {
+    VoskPINVOKE.VoskRecognizer_SetWords(handle, words ? 1 : 0);
+  }
+
+  public void SetSpkModel(SpkModel spk_model) {
+    VoskPINVOKE.VoskRecognizer_SetSpkModel(handle, SpkModel.getCPtr(spk_model));
+  }
+
+  public bool AcceptWaveform(byte[] data, int len) {
+    return VoskPINVOKE.VoskRecognizer_AcceptWaveform(handle, data, len);
+  }
+
+  public bool AcceptWaveform(short[] sdata, int len) {
+    return VoskPINVOKE.VoskRecognizer_AcceptWaveformShort(handle, sdata, len);
+  }
+
+  public bool AcceptWaveform(float[] fdata, int len) {
+    return VoskPINVOKE.VoskRecognizer_AcceptWaveformFloat(handle, fdata, len);
+  }
+
+  private static string PtrToStringUTF8(System.IntPtr ptr) {
+    int len = 0;
+    while (System.Runtime.InteropServices.Marshal.ReadByte(ptr, len) != 0)
+        len++;
+    byte[] array = new byte[len];
+    System.Runtime.InteropServices.Marshal.Copy(ptr, array, 0, len);
+    return System.Text.Encoding.UTF8.GetString(array);
+  }
+
+  public string Result() {
+    return PtrToStringUTF8(VoskPINVOKE.VoskRecognizer_Result(handle));
+  }
+
+  public string PartialResult() {
+    return PtrToStringUTF8(VoskPINVOKE.VoskRecognizer_PartialResult(handle));
+  }
+
+  public string FinalResult() {
+    return PtrToStringUTF8(VoskPINVOKE.VoskRecognizer_FinalResult(handle));
+  }
+
+  public void Reset() {
+    VoskPINVOKE.VoskRecognizer_Reset(handle);
+  }
+
+}
+
+}

doc/model.md

@@ -1,42 +0,0 @@
-## Updating the language model
-
-The Kaldi model used in Vosk is compiled from 3 data sources:
-
-  * dictionary
-  * acoustic model
-  * language model
-
-You can rebuild all three with different level of effort, but sometimes you just
-need to adjust the probability of the words to improve the recognition. For
-that it is enough to recompile the language model from the text. To do that
-
-1) Take a text that reflects the speech you want to recognize
-2) Remove punctuation, convert everything to the lowercase, you can do it with a python script
-3) Build openfst and opengrm inside kaldi
-
-```
-export KALDI_ROOT=`pwd`/kaldi
-git clone https://github.com/kaldi-asr/kaldi
-cd kaldi/tools
-make
-# install all required dependencies and repeat `make` if needed
-extras/install_opengrm.sh
-```
-
-4) Now lets build a grammar
-
-```
-export PATH=$KALDI_ROOT/tools/openfst/bin:$PATH
-export LD_LIBRARY_PATH=$KALDI_ROOT/tools/openfst/lib/fst
-cd model
-fstsymbols --save_osymbols=words.txt Gr.fst > /dev/null
-farcompilestrings --fst_type=compact --symbols=words.txt --keep_symbols text.txt | \
-    ngramcount | ngrammake | \
-    fstconvert --fst_type=ngram > Gr.fst
-```
-
-Use created Gr.fst instead of standard one in your model.
-
-For more details see OpenGRM documentation http://www.opengrm.org/twiki/bin/view/GRM/NGramLibrary
-
-You can not introduce new words this way, that is something we will cover later.

go/COPYING

@@ -0,0 +1,176 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
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+      "Contributor" shall mean Licensor and any individual or Legal Entity
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+   2. Grant of Copyright License. Subject to the terms and conditions of
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+      copyright license to reproduce, prepare Derivative Works of,
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+   3. Grant of Patent License. Subject to the terms and conditions of
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+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
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+      or a Contribution incorporated within the Work constitutes direct
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+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
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+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
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+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. this License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
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+      other commercial damages or losses), even if such Contributor
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+   9. Accepting Warranty or Additional Liability. While redistributing
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+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS

go/doc.go

@@ -0,0 +1,7 @@
+// Go bindings for Vosk speech recognition toolkit. Vosk is an offline
+// open source speech to text API for Android, iOS, Raspberry Pi and
+// servers. It enables speech recognition models for 18 languages and
+// dialects - English, Indian English, German, French, Spanish, Portuguese,
+// Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic,
+// Greek, Farsi, Filipino, Ukrainian.
+package vosk

go/example/doc.go

@@ -0,0 +1,2 @@
+// Example package for Vosk Go bindings.
+package test_simple

go/example/test_simple.go

@@ -0,0 +1,67 @@
+package main
+
+import (
+	"bufio"
+	"flag"
+	"fmt"
+	"io"
+	"log"
+	"os"
+
+	vosk "github.com/alphacep/vosk-api/go"
+)
+
+func main() {
+	var filename string
+	flag.StringVar(&filename, "f", "", "file to transcribe")
+	flag.Parse()
+
+	model, err := vosk.NewModel("model")
+	if err != nil {
+		log.Fatal(err)
+	}
+
+	spkModel, err := vosk.NewSpkModel("model-spk")
+	if err != nil {
+		log.Fatal(err)
+	}
+
+	sampleRate := 16000.0
+	rec, err := vosk.NewRecognizer(model, sampleRate, spkModel)
+	if err != nil {
+		log.Fatal(err)
+	}
+	rec.SetWords(1)
+
+	file, err := os.Open(filename)
+	if err != nil {
+		panic(err)
+	}
+	defer file.Close()
+
+	file, err := os.Open(filename)
+	if err != nil {
+		panic(err)
+	}
+	defer file.Close()
+
+	reader := bufio.NewReader(file)
+	buf := make([]byte, 4096)
+
+	for {
+		_, err := reader.Read(buf)
+		if err != nil {
+			if err != io.EOF {
+				log.Fatal(err)
+			}
+
+			break
+		}
+
+		if rec.AcceptWaveform(buf) != 0 {
+			fmt.Println(string(rec.Result()))
+		}
+	}
+
+	fmt.Println(string(rec.FinalResult()))
+}

go/go.mod

@@ -0,0 +1,7 @@
+module github.com/alphacep/vosk-api/go
+
+go 1.16
+
+replace (
+    github.com/alphacep/vosk-api/go => ./
+)

go/vosk.go

@@ -0,0 +1,140 @@
+package vosk
+
+// #cgo CPPFLAGS: -I ${SRCDIR}/../src
+// #cgo LDFLAGS: -L ${SRCDIR}/../src -lvosk -ldl -lpthread
+// #include <stdlib.h>
+// #include <vosk_api.h>
+import "C"
+
+// VoskModel contains a reference to the C VoskModel
+type VoskModel struct {
+	model *C.struct_VoskModel
+}
+
+// NewModel creates a new VoskModel instance
+func NewModel(modelPath string) (*VoskModel, error) {
+	internal := C.vosk_model_new(C.CString(modelPath))
+	model := &VoskModel{model: internal}
+	return model, nil
+}
+
+func freeModel(model *VoskModel) {
+	C.vosk_model_free(model.model)
+}
+
+// FindWord checks if a word can be recognized by the model.
+// Returns the word symbol if the word exists inside the model or
+// -1 otherwise.
+func (m *VoskModel) FindWord(word []byte) int {
+	cbuf := C.CBytes(word)
+	defer C.free(cbuf)
+	i := C.vosk_model_find_word(m.model, (*C.char)(cbuf))
+	return int(i)
+}
+
+// VoskSpkModel contains a reference to the C VoskSpkModel
+type VoskSpkModel struct {
+	spkModel *C.struct_VoskSpkModel
+}
+
+// NewSpkModel creates a new VoskSpkModel instance
+func NewSpkModel(spkModelPath string) (*VoskSpkModel, error) {
+	internal := C.vosk_spk_model_new(C.CString(spkModelPath))
+	spkModel := &VoskSpkModel{spkModel: internal}
+	return spkModel, nil
+}
+
+func freeSpkModel(model *VoskSpkModel) {
+	C.vosk_spk_model_free(model.spkModel)
+}
+
+// VoskRecognizer contains a reference to the C VoskRecognizer
+type VoskRecognizer struct {
+	rec *C.struct_VoskRecognizer
+}
+
+func freeRecognizer(recognizer *VoskRecognizer) {
+	C.vosk_recognizer_free(recognizer.rec)
+}
+
+// NewRecognizer creates a new VoskRecognizer instance
+func NewRecognizer(model *VoskModel, sampleRate float64) (*VoskRecognizer, error) {
+	internal := C.vosk_recognizer_new(model.model, C.float(sampleRate))
+	rec := &VoskRecognizer{rec: internal}
+	return rec, nil
+}
+
+// NewRecognizerSpk creates a new VoskRecognizer instance with a speaker model.
+func NewRecognizerSpk(model *VoskModel, sampleRate float64, spkModel *VoskSpkModel) (*VoskRecognizer, error) {
+	internal := C.vosk_recognizer_new_spk(model.model, C.float(sampleRate), spkModel.spkModel)
+	rec := &VoskRecognizer{rec: internal}
+	return rec, nil
+}
+
+// NewRecognizerGrm creates a new VoskRecognizer instance with the phrase list.
+func NewRecognizerGrm(model *VoskModel, sampleRate float64, grammer []byte) (*VoskRecognizer, error) {
+	cbuf := C.CBytes(grammer)
+	defer C.free(cbuf)
+	internal := C.vosk_recognizer_new_grm(model.model, C.float(sampleRate), (*C.char)(cbuf))
+	rec := &VoskRecognizer{rec: internal}
+	return rec, nil
+}
+
+// SetSpkModel adds a speaker model to an already initialized recognizer.
+func (r *VoskRecognizer) SetSpkModel(spkModel *VoskSpkModel) {
+	C.vosk_recognizer_set_spk_model(r.rec, spkModel.spkModel)
+}
+
+// SetMaxAlternatives configures the recognizer to output n-best results.
+func (r *VoskRecognizer) SetMaxAlternatives(maxAlternatives int) {
+	C.vosk_recognizer_set_max_alternatives(r.rec, C.int(maxAlternatives))
+}
+
+// SetWords enables words with times in the ouput.
+func (r *VoskRecognizer) SetWords(words int) {
+	C.vosk_recognizer_set_words(r.rec, C.int(words))
+}
+
+// AcceptWaveform accepts and processes a new chunk of the voice data.
+func (r *VoskRecognizer) AcceptWaveform(buffer []byte) int {
+	cbuf := C.CBytes(buffer)
+	defer C.free(cbuf)
+	i := C.vosk_recognizer_accept_waveform(r.rec, (*C.char)(cbuf), C.int(len(buffer)))
+	return int(i)
+}
+
+// Result returns a speech recognition result.
+func (r *VoskRecognizer) Result() []byte {
+	return []byte(C.GoString(C.vosk_recognizer_result(r.rec)))
+}
+
+// PartialResult returns a partial speech recognition result.
+func (r *VoskRecognizer) PartialResult() []byte {
+	return []byte(C.GoString(C.vosk_recognizer_result(r.rec)))
+}
+
+// FinalResult returns a speech recognition result. Same as result, but doesn't wait
+// for silence.
+func (r *VoskRecognizer) FinalResult() []byte {
+	return []byte(C.GoString(C.vosk_recognizer_final_result(r.rec)))
+}
+
+// Reset resets the recognizer.
+func (r *VoskRecognizer) Reset() {
+	C.vosk_recognizer_reset(r.rec)
+}
+
+// SetLogLevel sets the log level for Kaldi messages.
+func SetLogLevel(logLevel int) {
+	C.vosk_set_log_level(C.int(logLevel))
+}
+
+// GPUInit automatically selects a CUDA device and allows multithreading.
+func GPUInit() {
+	C.vosk_gpu_init()
+}
+
+// GPUThreadInit inits CUDA device in a multi-threaded environment.
+func GPUThreadInit() {
+	C.vosk_gpu_thread_init()
+}

ios/README

@@ -0,0 +1,3 @@
+This is a baseline for the vosk-api iOS demo. It requires a build of a
+Vosk-API library, mail contact@alphacephei.com for the details.
+

ios/VoskApiTest.xcodeproj/project.pbxproj

@@ -0,0 +1,398 @@
+// !$*UTF8*$!
+{
+	archiveVersion = 1;
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+			buildSettings = {
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+				CLANG_ENABLE_MODULES = YES;
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+				LD_RUNPATH_SEARCH_PATHS = "$(inherited) @executable_path/Frameworks";
+				LIBRARY_SEARCH_PATHS = (
+					"$(inherited)",
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+				SWIFT_VERSION = 4.0;
+			};
+			name = Debug;
+		};
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+			buildSettings = {
+				ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
+				CLANG_ENABLE_MODULES = YES;
+				ENABLE_BITCODE = YES;
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+}

ios/VoskApiTest.xcodeproj/project.xcworkspace/contents.xcworkspacedata

@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Workspace
+   version = "1.0">
+   <FileRef
+      location = "group:/Users/shmyrev/Documents/IOS/VoskApiTest/VoskApiTest/Vosk/vosk-model-small-en-us-0.15">
+   </FileRef>
+   <FileRef
+      location = "self:">
+   </FileRef>
+</Workspace>

ios/VoskApiTest/AppDelegate.swift

@@ -0,0 +1,46 @@
+//
+//  AppDelegate.swift
+//  VoskApiTest
+//
+//  Created by Niсkolay Shmyrev on 01.03.20.
+//  Copyright © 2020 Alpha Cephei. All rights reserved.
+//
+
+import UIKit
+
+@UIApplicationMain
+class AppDelegate: UIResponder, UIApplicationDelegate {
+
+    var window: UIWindow?
+
+
+    func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplicationLaunchOptionsKey: Any]?) -> Bool {
+        // Override point for customization after application launch.
+        return true
+    }
+
+    func applicationWillResignActive(_ application: UIApplication) {
+        // Sent when the application is about to move from active to inactive state. This can occur for certain types of temporary interruptions (such as an incoming phone call or SMS message) or when the user quits the application and it begins the transition to the background state.
+        // Use this method to pause ongoing tasks, disable timers, and invalidate graphics rendering callbacks. Games should use this method to pause the game.
+    }
+
+    func applicationDidEnterBackground(_ application: UIApplication) {
+        // Use this method to release shared resources, save user data, invalidate timers, and store enough application state information to restore your application to its current state in case it is terminated later.
+        // If your application supports background execution, this method is called instead of applicationWillTerminate: when the user quits.
+    }
+
+    func applicationWillEnterForeground(_ application: UIApplication) {
+        // Called as part of the transition from the background to the active state; here you can undo many of the changes made on entering the background.
+    }
+
+    func applicationDidBecomeActive(_ application: UIApplication) {
+        // Restart any tasks that were paused (or not yet started) while the application was inactive. If the application was previously in the background, optionally refresh the user interface.
+    }
+
+    func applicationWillTerminate(_ application: UIApplication) {
+        // Called when the application is about to terminate. Save data if appropriate. See also applicationDidEnterBackground:.
+    }
+
+
+}
+

ios/VoskApiTest/Assets.xcassets/AppIcon.appiconset/Contents.json

@@ -0,0 +1,98 @@
+{
+  "images" : [
+    {
+      "idiom" : "iphone",
+      "size" : "20x20",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "iphone",
+      "size" : "20x20",
+      "scale" : "3x"
+    },
+    {
+      "idiom" : "iphone",
+      "size" : "29x29",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "iphone",
+      "size" : "29x29",
+      "scale" : "3x"
+    },
+    {
+      "idiom" : "iphone",
+      "size" : "40x40",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "iphone",
+      "size" : "40x40",
+      "scale" : "3x"
+    },
+    {
+      "idiom" : "iphone",
+      "size" : "60x60",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "iphone",
+      "size" : "60x60",
+      "scale" : "3x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "20x20",
+      "scale" : "1x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "20x20",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "29x29",
+      "scale" : "1x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "29x29",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "40x40",
+      "scale" : "1x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "40x40",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "76x76",
+      "scale" : "1x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "76x76",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "ipad",
+      "size" : "83.5x83.5",
+      "scale" : "2x"
+    },
+    {
+      "idiom" : "ios-marketing",
+      "size" : "1024x1024",
+      "scale" : "1x"
+    }
+  ],
+  "info" : {
+    "version" : 1,
+    "author" : "xcode"
+  }
+}

ios/VoskApiTest/Base.lproj/LaunchScreen.storyboard

@@ -0,0 +1,27 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<document type="com.apple.InterfaceBuilder3.CocoaTouch.Storyboard.XIB" version="3.0" toolsVersion="11134" systemVersion="15F34" targetRuntime="iOS.CocoaTouch" propertyAccessControl="none" useAutolayout="YES" launchScreen="YES" useTraitCollections="YES" colorMatched="YES" initialViewController="01J-lp-oVM">
+    <dependencies>
+        <plugIn identifier="com.apple.InterfaceBuilder.IBCocoaTouchPlugin" version="11106"/>
+        <capability name="documents saved in the Xcode 8 format" minToolsVersion="8.0"/>
+    </dependencies>
+    <scenes>
+        <!--View Controller-->
+        <scene sceneID="EHf-IW-A2E">
+            <objects>
+                <viewController id="01J-lp-oVM" sceneMemberID="viewController">
+                    <layoutGuides>
+                        <viewControllerLayoutGuide type="top" id="Llm-lL-Icb"/>
+                        <viewControllerLayoutGuide type="bottom" id="xb3-aO-Qok"/>
+                    </layoutGuides>
+                    <view key="view" contentMode="scaleToFill" id="Ze5-6b-2t3">
+                        <rect key="frame" x="0.0" y="0.0" width="375" height="667"/>
+                        <autoresizingMask key="autoresizingMask" widthSizable="YES" heightSizable="YES"/>
+                        <color key="backgroundColor" red="1" green="1" blue="1" alpha="1" colorSpace="custom" customColorSpace="sRGB"/>
+                    </view>
+                </viewController>
+                <placeholder placeholderIdentifier="IBFirstResponder" id="iYj-Kq-Ea1" userLabel="First Responder" sceneMemberID="firstResponder"/>
+            </objects>
+            <point key="canvasLocation" x="53" y="375"/>
+        </scene>
+    </scenes>
+</document>

ios/VoskApiTest/Base.lproj/Main.storyboard

@@ -0,0 +1,61 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<document type="com.apple.InterfaceBuilder3.CocoaTouch.Storyboard.XIB" version="3.0" toolsVersion="13771" targetRuntime="iOS.CocoaTouch" propertyAccessControl="none" useAutolayout="YES" useTraitCollections="YES" colorMatched="YES" initialViewController="bdW-KL-Y8Z">
+    <device id="retina5_5" orientation="portrait">
+        <adaptation id="fullscreen"/>
+    </device>
+    <dependencies>
+        <deployment identifier="iOS"/>
+        <plugIn identifier="com.apple.InterfaceBuilder.IBCocoaTouchPlugin" version="13772"/>
+        <capability name="documents saved in the Xcode 8 format" minToolsVersion="8.0"/>
+    </dependencies>
+    <scenes>
+        <!--View Controller-->
+        <scene sceneID="nEc-89-Iqu">
+            <objects>
+                <viewController id="bdW-KL-Y8Z" customClass="ViewController" customModule="VoskApiTest" customModuleProvider="target" sceneMemberID="viewController">
+                    <layoutGuides>
+                        <viewControllerLayoutGuide type="top" id="Hyr-Dz-4mU"/>
+                        <viewControllerLayoutGuide type="bottom" id="w4A-5X-uBu"/>
+                    </layoutGuides>
+                    <view key="view" contentMode="scaleToFill" id="m5v-US-bvR">
+                        <rect key="frame" x="0.0" y="0.0" width="414" height="736"/>
+                        <autoresizingMask key="autoresizingMask" widthSizable="YES" heightSizable="YES"/>
+                        <subviews>
+                            <button opaque="NO" contentMode="scaleToFill" fixedFrame="YES" contentHorizontalAlignment="center" contentVerticalAlignment="center" buttonType="roundedRect" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="IaT-no-U3i" userLabel="Microphone">
+                                <rect key="frame" x="124" y="34" width="157" height="30"/>
+                                <autoresizingMask key="autoresizingMask" flexibleMaxX="YES" flexibleMaxY="YES"/>
+                                <state key="normal" title="Recognize Microphone"/>
+                                <connections>
+                                    <action selector="runRecognizeMicrohpone:" destination="bdW-KL-Y8Z" eventType="touchUpInside" id="hGB-lz-N2B"/>
+                                </connections>
+                            </button>
+                            <button opaque="NO" contentMode="scaleToFill" fixedFrame="YES" contentHorizontalAlignment="center" contentVerticalAlignment="center" buttonType="roundedRect" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="GC5-nT-FQR" userLabel="File">
+                                <rect key="frame" x="90" y="84" width="221" height="41"/>
+                                <autoresizingMask key="autoresizingMask" flexibleMaxX="YES" flexibleMaxY="YES"/>
+                                <state key="normal" title="Recognize File"/>
+                                <connections>
+                                    <action selector="runRecognizeFile:" destination="bdW-KL-Y8Z" eventType="touchUpInside" id="xp5-Yi-rnN"/>
+                                </connections>
+                            </button>
+                            <textView clipsSubviews="YES" multipleTouchEnabled="YES" contentMode="scaleToFill" fixedFrame="YES" text="Results here" textAlignment="natural" translatesAutoresizingMaskIntoConstraints="NO" id="w4X-cu-USq">
+                                <rect key="frame" x="11" y="112" width="383" height="569"/>
+                                <autoresizingMask key="autoresizingMask" flexibleMaxX="YES" flexibleMaxY="YES"/>
+                                <color key="backgroundColor" white="1" alpha="1" colorSpace="calibratedWhite"/>
+                                <fontDescription key="fontDescription" type="system" pointSize="14"/>
+                                <textInputTraits key="textInputTraits" autocapitalizationType="sentences"/>
+                            </textView>
+                        </subviews>
+                        <color key="backgroundColor" white="1" alpha="1" colorSpace="calibratedWhite"/>
+                    </view>
+                    <connections>
+                        <outlet property="mainText" destination="w4X-cu-USq" id="rZS-nz-Wql"/>
+                        <outlet property="recognizeFile" destination="GC5-nT-FQR" id="dRe-tc-IA0"/>
+                        <outlet property="recognizeMicrophone" destination="IaT-no-U3i" id="IuM-aa-pAP"/>
+                    </connections>
+                </viewController>
+                <placeholder placeholderIdentifier="IBFirstResponder" id="nWA-4D-pA6" userLabel="First Responder" sceneMemberID="firstResponder"/>
+            </objects>
+            <point key="canvasLocation" x="-17.39130434782609" y="-285.32608695652175"/>
+        </scene>
+    </scenes>
+</document>

ios/VoskApiTest/Info.plist

@@ -0,0 +1,45 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+	<key>CFBundleDevelopmentRegion</key>
+	<string>en</string>
+	<key>CFBundleExecutable</key>
+	<string>$(EXECUTABLE_NAME)</string>
+	<key>CFBundleIdentifier</key>
+	<string>$(PRODUCT_BUNDLE_IDENTIFIER)</string>
+	<key>CFBundleInfoDictionaryVersion</key>
+	<string>6.0</string>
+	<key>CFBundleName</key>
+	<string>$(PRODUCT_NAME)</string>
+	<key>CFBundlePackageType</key>
+	<string>APPL</string>
+	<key>CFBundleShortVersionString</key>
+	<string>1.0</string>
+	<key>CFBundleVersion</key>
+	<string>1</string>
+	<key>LSRequiresIPhoneOS</key>
+	<true/>
+	<key>UILaunchStoryboardName</key>
+	<string>LaunchScreen</string>
+	<key>UIMainStoryboardFile</key>
+	<string>Main</string>
+	<key>UIRequiredDeviceCapabilities</key>
+	<array>
+		<string>armv7</string>
+	</array>
+	<key>UISupportedInterfaceOrientations</key>
+	<array>
+		<string>UIInterfaceOrientationPortrait</string>
+		<string>UIInterfaceOrientationLandscapeLeft</string>
+		<string>UIInterfaceOrientationLandscapeRight</string>
+	</array>
+	<key>UISupportedInterfaceOrientations~ipad</key>
+	<array>
+		<string>UIInterfaceOrientationPortrait</string>
+		<string>UIInterfaceOrientationPortraitUpsideDown</string>
+		<string>UIInterfaceOrientationLandscapeLeft</string>
+		<string>UIInterfaceOrientationLandscapeRight</string>
+	</array>
+</dict>
+</plist>

ios/VoskApiTest/ViewController.swift

@@ -0,0 +1,117 @@
+//
+//  ViewController.swift
+//  VoskApiTest
+//
+//  Created by Niсkolay Shmyrev on 01.03.20.
+//  Copyright © 2020-2021 Alpha Cephei. All rights reserved.
+//
+
+import UIKit
+import AVFoundation
+
+enum WorkMode {
+    case stopped
+    case microphone
+    case file
+}
+
+class ViewController: UIViewController {
+    
+    var mode: WorkMode!
+    
+    @IBOutlet weak var recognizeFile: UIButton!
+    @IBOutlet weak var mainText: UITextView!
+    @IBOutlet weak var recognizeMicrophone: UIButton!
+    
+    var audioEngine : AVAudioEngine!
+    var processingQueue: DispatchQueue!
+    var model : VoskModel!
+    
+    func setMode(mode: WorkMode) {
+        switch mode {
+        case .stopped:
+            self.recognizeFile.isEnabled = true
+            self.recognizeMicrophone.isEnabled = true
+            self.recognizeMicrophone.setTitle("Recognize Microphone",for: .normal)
+        case .microphone:
+            self.recognizeFile.isEnabled = false
+            self.recognizeMicrophone.isEnabled = true
+            self.recognizeMicrophone.setTitle("Stop Microphone",for: .normal)
+            self.mainText.text = ""
+        case .file:
+            self.recognizeFile.isEnabled = false
+            self.recognizeMicrophone.isEnabled = false
+            self.mainText.text =  "Processing file..."
+        }
+        self.mode = mode
+    }
+    
+    func startAudioEngine() {
+        do {
+            
+            // Create a new audio engine.
+            audioEngine = AVAudioEngine()
+            
+            let inputNode = audioEngine.inputNode
+            let formatInput = inputNode.inputFormat(forBus: 0)
+            let formatPcm = AVAudioFormat.init(commonFormat: AVAudioCommonFormat.pcmFormatInt16, sampleRate: formatInput.sampleRate, channels: 1, interleaved: true)
+            
+            let recognizer = Vosk(model: model, sampleRate: Float(formatInput.sampleRate))
+            
+            inputNode.installTap(onBus: 0,
+                                 bufferSize: UInt32(formatInput.sampleRate / 10),
+                                 format: formatPcm) { buffer, time in
+                                    self.processingQueue.async {
+                                        let res = recognizer.recognizeData(buffer: buffer)
+                                        DispatchQueue.main.async {
+                                            self.mainText.text = res + "\n" + self.mainText.text
+                                        }
+                                    }
+            }
+            
+            // Start the stream of audio data.
+            audioEngine.prepare()
+            try audioEngine.start()
+        } catch {
+            print("Unable to start AVAudioEngine: \(error.localizedDescription)")
+        }
+    }
+    
+    func stopAudioEngine() {
+        audioEngine.stop()
+    }
+    
+    @IBAction func runRecognizeMicrohpone(_ sender: Any) {
+        if (mode == .stopped) {
+            setMode(mode: .microphone)
+            startAudioEngine()
+        } else {
+            stopAudioEngine()
+            setMode(mode: .stopped)
+        }
+    }
+    
+    @IBAction func runRecognizeFile(_ sender: Any) {
+        setMode(mode: .file)
+        processingQueue.async {
+            let recognizer = Vosk(model: self.model, sampleRate: 16000.0)
+            let res = recognizer.recognizeFile()
+            DispatchQueue.main.async {
+                self.mainText.text = res
+                self.setMode(mode: .stopped)
+            }
+        }
+    }
+    
+    override func viewDidLoad() {
+        super.viewDidLoad()
+        setMode(mode: .stopped)
+        processingQueue = DispatchQueue(label: "recognizerQueue")
+        model = VoskModel()
+    }
+    
+    override func didReceiveMemoryWarning() {
+        super.didReceiveMemoryWarning()
+    }
+}
+

ios/VoskApiTest/Vosk.swift

@@ -0,0 +1,54 @@
+//
+//  Vosk.swift
+//  VoskApiTest
+//
+//  Created by Niсkolay Shmyrev on 01.03.20.
+//  Copyright © 2020-2021 Alpha Cephei. All rights reserved.
+//
+
+import Foundation
+import AVFoundation
+
+public final class Vosk {
+    
+    var recognizer : OpaquePointer!
+
+    init(model: VoskModel, sampleRate: Float) {
+        recognizer = vosk_recognizer_new_spk(model.model, model.spkModel, sampleRate)
+    }
+    
+    deinit {
+        vosk_recognizer_free(recognizer);
+    }
+    
+    func recognizeFile() -> String {
+        var sres = ""
+        
+        if let resourcePath = Bundle.main.resourcePath {
+            
+            let audioFile = URL(fileURLWithPath: resourcePath + "/10001-90210-01803.wav")
+    
+            if let data = try? Data(contentsOf: audioFile) {
+                    let _ = data.withUnsafeBytes {
+                        vosk_recognizer_accept_waveform(recognizer, $0, Int32(data.count))
+                    }
+                    let res = vosk_recognizer_final_result(recognizer);
+                    sres = String(validatingUTF8: res!)!;
+                    print(sres);
+            }
+        }
+        
+        return sres
+    }
+    
+    
+    func recognizeData(buffer : AVAudioPCMBuffer) -> String {
+        let dataLen = Int(buffer.frameLength * 2)
+        let channels = UnsafeBufferPointer(start: buffer.int16ChannelData, count: 1)
+        let endOfSpeech = channels[0].withMemoryRebound(to: Int8.self, capacity: dataLen) {
+            vosk_recognizer_accept_waveform(recognizer, $0, Int32(dataLen))
+        }
+        let res = endOfSpeech == 1 ?vosk_recognizer_result(recognizer) :vosk_recognizer_partial_result(recognizer)
+        return String(validatingUTF8: res!)!;
+    }
+}

ios/VoskApiTest/Vosk/vosk_api.h

@@ -0,0 +1,211 @@
+// Copyright 2020 Alpha Cephei Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//       http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+/* This header contains the C API for Vosk speech recognition system */
+
+#ifndef VOSK_API_H
+#define VOSK_API_H
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/** Model stores all the data required for recognition
+ *  it contains static data and can be shared across processing
+ *  threads. */
+typedef struct VoskModel VoskModel;
+
+
+/** Speaker model is the same as model but contains the data
+ *  for speaker identification. */
+typedef struct VoskSpkModel VoskSpkModel;
+
+
+/** Recognizer object is the main object which processes data.
+ *  Each recognizer usually runs in own thread and takes audio as input.
+ *  Once audio is processed recognizer returns JSON object as a string
+ *  which represent decoded information - words, confidences, times, n-best lists,
+ *  speaker information and so on */
+typedef struct VoskRecognizer VoskRecognizer;
+
+
+/** Loads model data from the file and returns the model object
+ *
+ * @param model_path: the path of the model on the filesystem
+ @ @returns model object */
+VoskModel *vosk_model_new(const char *model_path);
+
+
+/** Releases the model memory
+ *
+ *  The model object is reference-counted so if some recognizer
+ *  depends on this model, model might still stay alive. When
+ *  last recognizer is released, model will be released too. */
+void vosk_model_free(VoskModel *model);
+
+
+/** Loads speaker model data from the file and returns the model object
+ *
+ * @param model_path: the path of the model on the filesystem
+ * @returns model object */
+VoskSpkModel *vosk_spk_model_new(const char *model_path);
+
+
+/** Releases the model memory
+ *
+ *  The model object is reference-counted so if some recognizer
+ *  depends on this model, model might still stay alive. When
+ *  last recognizer is released, model will be released too. */
+void vosk_spk_model_free(VoskSpkModel *model);
+
+/** Creates the recognizer object
+ *
+ *  The recognizers process the speech and return text using shared model data 
+ *  @param sample_rate The sample rate of the audio you going to feed into the recognizer
+ *  @returns recognizer object */
+VoskRecognizer *vosk_recognizer_new(VoskModel *model, float sample_rate);
+
+
+/** Creates the recognizer object with speaker recognition
+ *
+ *  With the speaker recognition mode the recognizer not just recognize
+ *  text but also return speaker vectors one can use for speaker identification
+ *
+ *  @param spk_model speaker model for speaker identification
+ *  @param sample_rate The sample rate of the audio you going to feed into the recognizer
+ *  @returns recognizer object */
+VoskRecognizer *vosk_recognizer_new_spk(VoskModel *model, VoskSpkModel *spk_model, float sample_rate);
+
+
+/** Creates the recognizer object with the phrase list
+ *
+ *  Sometimes when you want to improve recognition accuracy and when you don't need
+ *  to recognize large vocabulary you can specify a list of phrases to recognize. This
+ *  will improve recognizer speed and accuracy but might return [unk] if user said
+ *  something different.
+ *
+ *  Only recognizers with lookahead models support this type of quick configuration.
+ *  Precompiled HCLG graph models are not supported.
+ *
+ *  @param sample_rate The sample rate of the audio you going to feed into the recognizer
+ *  @param grammar The string with the list of phrases to recognize as JSON array of strings,
+ *                 for example "["one two three four five", "[unk]"]".
+ *
+ *  @returns recognizer object */
+VoskRecognizer *vosk_recognizer_new_grm(VoskModel *model, float sample_rate, const char *grammar);
+
+
+/** Accept voice data
+ *
+ *  accept and process new chunk of voice data
+ *
+ *  @param data - audio data in PCM 16-bit mono format
+ *  @param length - length of the audio data
+ *  @returns true if silence is occured and you can retrieve a new utterance with result method */
+int vosk_recognizer_accept_waveform(VoskRecognizer *recognizer, const char *data, int length);
+
+
+/** Same as above but the version with the short data for language bindings where you have
+ *  audio as array of shorts */
+int vosk_recognizer_accept_waveform_s(VoskRecognizer *recognizer, const short *data, int length);
+
+
+/** Same as above but the version with the float data for language bindings where you have
+ *  audio as array of floats */
+int vosk_recognizer_accept_waveform_f(VoskRecognizer *recognizer, const float *data, int length);
+
+
+/** Returns speech recognition result
+ *
+ * @returns the result in JSON format which contains decoded line, decoded
+ *          words, times in seconds and confidences. You can parse this result
+ *          with any json parser
+ *
+ * <pre>
+ * {
+ *   "result" : [{
+ *       "conf" : 1.000000,
+ *       "end" : 1.110000,
+ *       "start" : 0.870000,
+ *       "word" : "what"
+ *     }, {
+ *       "conf" : 1.000000,
+ *       "end" : 1.530000,
+ *       "start" : 1.110000,
+ *       "word" : "zero"
+ *     }, {
+ *       "conf" : 1.000000,
+ *       "end" : 1.950000,
+ *       "start" : 1.530000,
+ *       "word" : "zero"
+ *     }, {
+ *       "conf" : 1.000000,
+ *       "end" : 2.340000,
+ *       "start" : 1.950000,
+ *       "word" : "zero"
+ *     }, {
+ *       "conf" : 1.000000,
+ *      "end" : 2.610000,
+ *       "start" : 2.340000,
+ *       "word" : "one"
+ *     }],
+ *   "text" : "what zero zero zero one"
+ *  }
+ * </pre>
+ */
+const char *vosk_recognizer_result(VoskRecognizer *recognizer);
+
+
+/** Returns partial speech recognition
+ *
+ * @returns partial speech recognition text which is not yet finalized.
+ *          result may change as recognizer process more data.
+ *
+ * <pre>
+ * {
+ *  "partial" : "cyril one eight zero"
+ * }
+ * </pre>
+ */
+const char *vosk_recognizer_partial_result(VoskRecognizer *recognizer);
+
+
+/** Returns speech recognition result. Same as result, but doesn't wait for silence
+ *  You usually call it in the end of the stream to get final bits of audio. It
+ *  flushes the feature pipeline, so all remaining audio chunks got processed.
+ *
+ *  @returns speech result in JSON format.
+ */
+const char *vosk_recognizer_final_result(VoskRecognizer *recognizer);
+
+
+/** Releases recognizer object
+ *
+ *  Underlying model is also unreferenced and if needed released */
+void vosk_recognizer_free(VoskRecognizer *recognizer);
+
+/** Set log level for Kaldi messages
+ *
+ *  @param log_level the level
+ *     0 - default value to print info and error messages but no debug
+ *     less than 0 - don't print info messages
+ *     greather than 0 - more verbose mode
+ */
+void vosk_set_log_level(int log_level);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* VOSK_API_H */

ios/VoskApiTest/VoskModel.swift

@@ -0,0 +1,36 @@
+//
+//  Vosk.swift
+//  VoskApiTest
+//
+//  Created by Niсkolay Shmyrev on 01.03.20.
+//  Copyright © 2020-2021 Alpha Cephei. All rights reserved.
+//
+
+import Foundation
+
+public final class VoskModel {
+    
+    var model : OpaquePointer!
+    var spkModel : OpaquePointer!
+    
+    init() {
+        
+        // Set to -1 to disable logs
+        vosk_set_log_level(0);
+        
+        if let resourcePath = Bundle.main.resourcePath {
+            let modelPath = resourcePath + "/vosk-model-small-en-us-0.15"
+            let spkModelPath = resourcePath + "/vosk-model-spk-0.4"
+            
+            model = vosk_model_new(modelPath)
+            spkModel = vosk_spk_model_new(spkModelPath)
+        }
+    }
+    
+    deinit {
+        vosk_model_free(model)
+        vosk_spk_model_free(spkModel)
+    }
+    
+}
+

ios/VoskApiTest/bridging.h

@@ -0,0 +1 @@
+#import "Vosk/vosk_api.h"

java/Makefile

@@ -1,57 +0,0 @@
-KALDI_ROOT ?= $(HOME)/kaldi
-CFLAGS := -g -O2 -DPIC -fPIC -Wno-unused-function
-CPPFLAGS := -I$(JAVA_HOME)/include -I$(JAVA_HOME)/include/linux -I$(KALDI_ROOT)/src -I$(KALDI_ROOT)/tools/openfst/include -I../src
-
-KALDI_LIBS = \
-             ${KALDI_ROOT}/src/online2/kaldi-online2.a \
-             ${KALDI_ROOT}/src/decoder/kaldi-decoder.a \
-             ${KALDI_ROOT}/src/ivector/kaldi-ivector.a \
-             ${KALDI_ROOT}/src/gmm/kaldi-gmm.a \
-             ${KALDI_ROOT}/src/nnet3/kaldi-nnet3.a \
-             ${KALDI_ROOT}/src/tree/kaldi-tree.a \
-             ${KALDI_ROOT}/src/feat/kaldi-feat.a \
-             ${KALDI_ROOT}/src/lat/kaldi-lat.a \
-             ${KALDI_ROOT}/src/hmm/kaldi-hmm.a \
-             ${KALDI_ROOT}/src/transform/kaldi-transform.a \
-             ${KALDI_ROOT}/src/cudamatrix/kaldi-cudamatrix.a \
-             ${KALDI_ROOT}/src/matrix/kaldi-matrix.a \
-             ${KALDI_ROOT}/src/fstext/kaldi-fstext.a \
-             ${KALDI_ROOT}/src/util/kaldi-util.a \
-             ${KALDI_ROOT}/src/base/kaldi-base.a \
-             ${KALDI_ROOT}/tools/openfst/lib/libfst.a \
-             ${KALDI_ROOT}/tools/openfst/lib/libfstngram.a \
-             ${KALDI_ROOT}/tools/OpenBLAS/libopenblas.a \
-             -lgfortran
-
-all: libvosk_jni.so
-
-VOSK_SOURCES = \
-	vosk_wrap.cc \
-	../src/kaldi_recognizer.cc \
-	../src/kaldi_recognizer.h \
-	../src/model.cc \
-	../src/model.h \
-	../src/spk_model.cc \
-	../src/spk_model.h
-
-libvosk_jni.so: $(VOSK_SOURCES)
-	$(CXX) -shared -o $@ $(CPPFLAGS) $(CFLAGS) $(VOSK_SOURCES) $(KALDI_LIBS)
-
-vosk_wrap.cc: ../src/vosk.i
-	mkdir -p org/kaldi
-	swig -I../src -c++ \
-		-java -package org.kaldi \
-		-outdir org/kaldi -o $@ $<
-
-clean:
-	$(RM) *.so *_wrap.cc *_wrap.o test/*.class
-	$(RM) -r org model-en
-
-model-en:
-	wget https://github.com/alphacep/kaldi-android-demo/releases/download/2020-01/alphacep-model-android-en-us-0.3.tar.gz
-	tar xf alphacep-model-android-en-us-0.3.tar.gz && rm alphacep-model-android-en-us-0.3.tar.gz
-	mv alphacep-model-android-en-us-0.3 model-en
-
-run: model-en
-	javac test/*.java org/kaldi/*.java
-	java -Djava.library.path=. -cp . test.DecoderTest

java/README.md

@@ -0,0 +1,7 @@
+Java bindings for Vosk API using jnr-ffi
+
+See demo project for details, build it with Gradle.
+
+Download model and unpack as "model" folder in the demo project.
+
+Make sure you are using recent JDK and Gradle.

java/demo/build.gradle

@@ -0,0 +1,19 @@
+plugins {
+    id 'application'
+}
+
+application {
+    mainClass = 'org.vosk.demo.DecoderDemo'
+}
+
+repositories {
+    mavenCentral()
+    maven {
+        url 'https://alphacephei.com/maven/'
+    }
+}
+
+dependencies {
+    implementation group: 'net.java.dev.jna', name: 'jna', version: '5.7.0'
+    implementation group: 'com.alphacephei', name: 'vosk', version: '0.3.30+'
+}

java/demo/src/main/java/org/vosk/demo/DecoderDemo.java

@@ -0,0 +1,38 @@
+package org.vosk.demo;
+
+import java.io.FileInputStream;
+import java.io.BufferedInputStream;
+import java.io.IOException;
+import java.io.InputStream;
+
+import javax.sound.sampled.AudioSystem;
+import javax.sound.sampled.UnsupportedAudioFileException;
+
+import org.vosk.LogLevel;
+import org.vosk.Recognizer;
+import org.vosk.LibVosk;
+import org.vosk.Model;
+
+public class DecoderDemo {
+
+    public static void main(String[] argv) throws IOException, UnsupportedAudioFileException {
+        LibVosk.setLogLevel(LogLevel.DEBUG);
+
+        try (Model model = new Model("model");
+                    InputStream ais = AudioSystem.getAudioInputStream(new BufferedInputStream(new FileInputStream("../../python/example/test.wav")));
+                    Recognizer recognizer = new Recognizer(model, 16000)) {
+
+            int nbytes;
+            byte[] b = new byte[4096];
+            while ((nbytes = ais.read(b)) >= 0) {
+                if (recognizer.acceptWaveForm(b, nbytes)) {
+                    System.out.println(recognizer.getResult());
+                } else {
+                    System.out.println(recognizer.getPartialResult());
+                }
+            }
+
+            System.out.println(recognizer.getFinalResult());
+        }
+    }
+}

java/lib/build.gradle

@@ -0,0 +1,58 @@
+plugins {
+    id 'java-library'
+    id 'maven-publish'
+}
+
+archivesBaseName = 'vosk'
+group = 'com.alphacephei'
+version = '0.3.30'
+
+repositories {
+    mavenCentral()
+}
+
+dependencies {
+    implementation group: 'net.java.dev.jna', name: 'jna', version: '5.7.0'
+    testImplementation 'junit:junit:4.13'
+}
+
+publishing {
+    publications {
+        mavenJava(MavenPublication) {
+            artifactId = 'vosk'
+            from components.java
+            pom {
+                name = 'Vosk'
+                description = 'Speech recognition library'
+                url = 'http://www.alphacephei.com.com/vosk/'
+                licenses {
+                    license {
+                        name = 'The Apache License, Version 2.0'
+                        url = 'http://www.apache.org/licenses/LICENSE-2.0.txt'
+                    }
+                }
+                developers {
+                    developer {
+                        id = 'alphacephei'
+                        name = 'Alpha Cephei Inc'
+                        email = 'contact@alphacephei.com'
+                    }
+                }
+                scm {
+                    connection = 'scm:git:git://github.com/alphacep/vosk-api.git'
+                    url = 'https://github.com/alphacep/vosk-api/'
+                }
+            }
+        }
+    }
+    repositories {
+        maven {
+            url = "repo"
+        }
+    }
+}
+
+test {
+    dependsOn cleanTest
+    testLogging.showStandardStreams = true
+}

java/lib/src/main/java/org/vosk/LibVosk.java

@@ -0,0 +1,86 @@
+package org.vosk;
+
+import com.sun.jna.Native;
+import com.sun.jna.Library;
+import com.sun.jna.Platform;
+import com.sun.jna.Pointer;
+import java.io.File;
+import java.io.InputStream;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.StandardCopyOption;
+
+public class LibVosk {
+
+    private static void unpackDll(File targetDir, String lib) throws IOException {
+        InputStream source = LibVosk.class.getResourceAsStream("/win32-x86-64/" + lib + ".dll");
+        Files.copy(source, new File(targetDir, lib + ".dll").toPath(), StandardCopyOption.REPLACE_EXISTING);
+    }
+
+    static {
+
+        if (Platform.isWindows()) {
+            // We have to unpack dependencies
+            try {
+                // To get a tmp folder we unpack small library and mark it for deletion
+                File tmpFile = Native.extractFromResourcePath("/win32-x86-64/empty");
+                File tmpDir = tmpFile.getParentFile();
+                new File(tmpDir, tmpFile.getName() + ".x").createNewFile();
+
+                // Now unpack dependencies
+                unpackDll(tmpDir, "libwinpthread-1");
+                unpackDll(tmpDir, "libgcc_s_seh-1");
+                unpackDll(tmpDir, "libstdc++-6");
+
+            } catch (IOException e) {
+                // Nothing for now, it will fail on next step
+            } finally {
+                Native.register(LibVosk.class, "libvosk");
+            }
+        } else {
+            Native.register(LibVosk.class, "vosk");
+        }
+    }
+
+    public static native void vosk_set_log_level(int level);
+
+    public static native Pointer vosk_model_new(String path);
+
+    public static native void vosk_model_free(Pointer model);
+
+    public static native Pointer vosk_spk_model_new(String path);
+
+    public static native void vosk_spk_model_free(Pointer model);
+
+    public static native Pointer vosk_recognizer_new(Model model, float sample_rate);
+
+    public static native Pointer vosk_recognizer_new_spk(Pointer model, float sample_rate, Pointer spk_model);
+
+    public static native Pointer vosk_recognizer_new_grm(Pointer model, float sample_rate, String grammar);
+
+    public static native void vosk_recognizer_set_max_alternatives(Pointer recognizer, int max_alternatives);
+
+    public static native void vosk_recognizer_set_words(Pointer recognizer, boolean words);
+
+    public static native void vosk_recognizer_set_spk_model(Pointer recognizer, Pointer spk_model);
+
+    public static native boolean vosk_recognizer_accept_waveform(Pointer recognizer, byte[] data, int len);
+
+    public static native boolean vosk_recognizer_accept_waveform_s(Pointer recognizer, short[] data, int len);
+
+    public static native boolean vosk_recognizer_accept_waveform_f(Pointer recognizer, float[] data, int len);
+
+    public static native String vosk_recognizer_result(Pointer recognizer);
+
+    public static native String vosk_recognizer_final_result(Pointer recognizer);
+
+    public static native String vosk_recognizer_partial_result(Pointer recognizer);
+
+    public static native void vosk_recognizer_reset(Pointer recognizer);
+
+    public static native void vosk_recognizer_free(Pointer recognizer);
+
+    public static void setLogLevel(LogLevel loglevel) {
+        vosk_set_log_level(loglevel.getValue());
+    }
+}

java/lib/src/main/java/org/vosk/LogLevel.java

@@ -0,0 +1,17 @@
+package org.vosk;
+
+public enum LogLevel {
+    WARNINGS(-1),  // Print warning and errors
+    INFO(0),       // Print info, along with warning and error messages, but no debug
+    DEBUG(1);      // Print debug info
+
+    private final int value;
+
+    LogLevel(int value) {
+        this.value = value;
+    }
+
+    public int getValue() {
+        return this.value;
+    }
+}

java/lib/src/main/java/org/vosk/Model.java

@@ -0,0 +1,17 @@
+package org.vosk;
+
+import com.sun.jna.PointerType;
+
+public class Model extends PointerType implements AutoCloseable {
+    public Model() {
+    }
+
+    public Model(String path) {
+        super(LibVosk.vosk_model_new(path));
+    }
+
+    @Override
+    public void close() {
+        LibVosk.vosk_model_free(this.getPointer());
+    }
+}

java/lib/src/main/java/org/vosk/Recognizer.java

@@ -0,0 +1,62 @@
+package org.vosk;
+
+import com.sun.jna.PointerType;
+
+public class Recognizer extends PointerType implements AutoCloseable {
+    public Recognizer(Model model, float sampleRate) {
+        super(LibVosk.vosk_recognizer_new(model, sampleRate));
+    }
+
+    public Recognizer(Model model, float sampleRate, SpeakerModel spkModel) {
+        super(LibVosk.vosk_recognizer_new_spk(model.getPointer(), sampleRate, spkModel.getPointer()));
+    }
+
+    public Recognizer(Model model, float sampleRate, String grammar) {
+        super(LibVosk.vosk_recognizer_new_grm(model.getPointer(), sampleRate, grammar));
+    }
+
+    public void setMaxAlternatives(int maxAlternatives) {
+        LibVosk.vosk_recognizer_set_max_alternatives(this.getPointer(), maxAlternatives);
+    }
+
+    public void setWords(boolean words) {
+        LibVosk.vosk_recognizer_set_words(this.getPointer(), words);
+    }
+
+    public void setSpeakerModel(SpeakerModel spkModel) {
+        LibVosk.vosk_recognizer_set_spk_model(this.getPointer(), spkModel.getPointer());
+    }
+
+    public boolean acceptWaveForm(byte[] data, int len) {
+        return LibVosk.vosk_recognizer_accept_waveform(this.getPointer(), data, len);
+    }
+
+    public boolean acceptWaveForm(short[] data, int len) {
+        return LibVosk.vosk_recognizer_accept_waveform_s(this.getPointer(), data, len);
+    }
+
+    public boolean acceptWaveForm(float[] data, int len) {
+        return LibVosk.vosk_recognizer_accept_waveform_f(this.getPointer(), data, len);
+    }
+
+    public String getResult() {
+        return LibVosk.vosk_recognizer_result(this.getPointer());
+    }
+
+    public String getPartialResult() {
+        return LibVosk.vosk_recognizer_partial_result(this.getPointer());
+    }
+
+    public String getFinalResult() {
+        return LibVosk.vosk_recognizer_final_result(this.getPointer());
+    }
+
+    public void reset() {
+        LibVosk.vosk_recognizer_reset(this.getPointer());
+    }
+
+    @Override
+    public void close() {
+        LibVosk.vosk_recognizer_free(this.getPointer());
+    }
+}

java/lib/src/main/java/org/vosk/SpeakerModel.java

@@ -0,0 +1,17 @@
+package org.vosk;
+
+import com.sun.jna.PointerType;
+
+public class SpeakerModel extends PointerType implements AutoCloseable {
+    public SpeakerModel() {
+    }
+
+    public SpeakerModel(String path) {
+        super(LibVosk.vosk_spk_model_new(path));
+    }
+
+    @Override
+    public void close() {
+        LibVosk.vosk_spk_model_free(this.getPointer());
+    }
+}

java/lib/src/main/resources/win32-x86-64/empty

@@ -0,0 +1 @@
+Mainly for work around JNA API

java/lib/src/test/java/org/vosk/test/DecoderTest.java

@@ -0,0 +1,96 @@
+package org.vosk.test;
+
+import java.io.FileInputStream;
+import java.io.BufferedInputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
+
+import org.junit.Test;
+import org.junit.Assert;
+
+import javax.sound.sampled.AudioSystem;
+import javax.sound.sampled.UnsupportedAudioFileException;
+
+import org.vosk.LogLevel;
+import org.vosk.Recognizer;
+import org.vosk.LibVosk;
+import org.vosk.Model;
+
+public class DecoderTest {
+
+    @Test
+    public void decoderTest() throws IOException, UnsupportedAudioFileException {
+        LibVosk.setLogLevel(LogLevel.DEBUG);
+
+        try (Model model = new Model("model");
+            InputStream ais = AudioSystem.getAudioInputStream(new BufferedInputStream(new FileInputStream("../../python/example/test.wav")));
+            Recognizer recognizer = new Recognizer(model, 16000)) {
+
+            recognizer.setMaxAlternatives(10);
+            recognizer.setWords(true);
+
+            int nbytes;
+            byte[] b = new byte[4096];
+            while ((nbytes = ais.read(b)) >= 0) {
+                if (recognizer.acceptWaveForm(b, nbytes)) {
+                    System.out.println(recognizer.getResult());
+                } else {
+                    System.out.println(recognizer.getPartialResult());
+                }
+            }
+
+            System.out.println(recognizer.getFinalResult());
+        }
+        Assert.assertTrue(true);
+    }
+
+    @Test
+    public void decoderTestShort() throws IOException, UnsupportedAudioFileException {
+        LibVosk.setLogLevel(LogLevel.DEBUG);
+
+        try (Model model = new Model("model");
+            InputStream ais = AudioSystem.getAudioInputStream(new BufferedInputStream(new FileInputStream("../../python/example/test.wav")));
+            Recognizer recognizer = new Recognizer(model, 16000)) {
+
+            int nbytes;
+            byte[] b = new byte[4096];
+            short[] s = new short[2048];
+            while ((nbytes = ais.read(b)) >= 0) {
+                ByteBuffer.wrap(b).order(ByteOrder.LITTLE_ENDIAN).asShortBuffer().get(s);
+                if (recognizer.acceptWaveForm(s, nbytes / 2)) {
+                    System.out.println(recognizer.getResult());
+                } else {
+                    System.out.println(recognizer.getPartialResult());
+                }
+            }
+
+            System.out.println(recognizer.getFinalResult());
+        }
+        Assert.assertTrue(true);
+    }
+
+    @Test
+    public void decoderTestGrammar() throws IOException, UnsupportedAudioFileException {
+        LibVosk.setLogLevel(LogLevel.DEBUG);
+
+        try (Model model = new Model("model");
+            InputStream ais = AudioSystem.getAudioInputStream(new BufferedInputStream(new FileInputStream("../../python/example/test.wav")));
+            Recognizer recognizer = new Recognizer(model, 16000, "[\"one two three four five six seven eight nine zero oh\"]")) {
+
+            int nbytes;
+            byte[] b = new byte[4096];
+            while ((nbytes = ais.read(b)) >= 0) {
+                if (recognizer.acceptWaveForm(b, nbytes)) {
+                    System.out.println(recognizer.getResult());
+                } else {
+                    System.out.println(recognizer.getPartialResult());
+                }
+            }
+
+            System.out.println(recognizer.getFinalResult());
+        }
+        Assert.assertTrue(true);
+    }
+}

java/test/DecoderTest.java

@@ -1,37 +0,0 @@
-package test;
-
-import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileOutputStream;
-import java.io.DataOutputStream;
-import java.io.IOException;
-import java.net.URL;
-import java.nio.*;
-
-import org.kaldi.KaldiRecognizer;
-import org.kaldi.Model;
-import org.kaldi.SpkModel;
-
-public class DecoderTest {
-    static {
-        System.loadLibrary("vosk_jni");
-    }
-
-    public static void main(String args[]) throws IOException {
-        FileInputStream ais = new FileInputStream(new File("../python/example/test.wav"));
-        Model model = new Model("model-en");
-        SpkModel spkModel = new SpkModel("model-spk");
-        KaldiRecognizer rec = new KaldiRecognizer(model, spkModel, 16000.0f);
-
-        int nbytes;
-        byte[] b = new byte[4096];
-        while ((nbytes = ais.read(b)) >= 0) {
-            if (rec.AcceptWaveform(b, nbytes)) {
-                System.out.println(rec.Result());
-            } else {
-                System.out.println(rec.PartialResult());
-            }
-        }
-        System.out.println(rec.FinalResult());
-    }
-}

nodejs/.npmignore

@@ -0,0 +1,3 @@
+demo/model
+demo/model-spk
+demo/test.wav

nodejs/README.md

@@ -0,0 +1,33 @@
+This is an FFI-NAPI wrapper for the Vosk library.
+
+## Usage
+
+It mostly follows Vosk interface, some methods are not yet fully implemented.
+
+To use it you need to compile libvosk library, see Python module build
+instructions for details. You can find prebuilt library inside python
+wheel.
+
+## About
+
+Vosk is an offline open source speech recognition toolkit. It enables
+speech recognition models for 17 languages and dialects - English, Indian
+English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish,
+Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino.
+
+Vosk models are small (50 Mb) but provide continuous large vocabulary
+transcription, zero-latency response with streaming API, reconfigurable
+vocabulary and speaker identification.
+
+Vosk supplies speech recognition for chatbots, smart home appliances,
+virtual assistants. It can also create subtitles for movies,
+transcription for lectures and interviews.
+
+Vosk scales from small devices like Raspberry Pi or Android smartphone to
+big clusters.
+
+# Documentation
+
+For installation instructions, examples and documentation visit [Vosk
+Website](https://alphacephei.com/vosk). See also our project on
+[Github](https://github.com/alphacep/vosk-api).

nodejs/demo/test_ffmpeg.js

@@ -0,0 +1,33 @@
+var vosk = require('..')
+
+const fs = require("fs");
+const { spawn } = require("child_process");
+
+MODEL_PATH = "model"
+FILE_NAME = "test.wav"
+SAMPLE_RATE = 16000
+BUFFER_SIZE = 4000
+
+if (!fs.existsSync(MODEL_PATH)) {
+    console.log("Please download the model from https://alphacephei.com/vosk/models and unpack as " + MODEL_PATH + " in the current folder.")
+    process.exit()
+}
+
+if (process.argv.length > 2)
+    FILE_NAME = process.argv[2]
+
+vosk.setLogLevel(0);
+const model = new vosk.Model(MODEL_PATH);
+const rec = new vosk.Recognizer({model: model, sampleRate: SAMPLE_RATE});
+
+const ffmpeg_run = spawn('ffmpeg', ['-loglevel', 'quiet', '-i', FILE_NAME,
+                         '-ar', String(SAMPLE_RATE) , '-ac', '1',
+                         '-f', 's16le', '-bufsize', String(BUFFER_SIZE) , '-']);
+
+ffmpeg_run.stdout.on('data', (stdout) => {
+    if (rec.acceptWaveform(stdout))
+        console.log(rec.result());
+    else
+        console.log(rec.partialResult());
+    console.log(rec.finalResult());
+});

nodejs/demo/test_microphone.js

@@ -0,0 +1,39 @@
+var vosk = require('..')
+
+const fs = require("fs");
+var mic = require("mic");
+
+MODEL_PATH = "model"
+SAMPLE_RATE = 16000
+
+if (!fs.existsSync(MODEL_PATH)) {
+    console.log("Please download the model from https://alphacephei.com/vosk/models and unpack as " + MODEL_PATH + " in the current folder.")
+    process.exit()
+}
+
+vosk.setLogLevel(0);
+const model = new vosk.Model(MODEL_PATH);
+const rec = new vosk.Recognizer({model: model, sampleRate: SAMPLE_RATE});
+
+var micInstance = mic({
+    rate: String(SAMPLE_RATE),
+    channels: '1',
+    debug: false
+});
+
+var micInputStream = micInstance.getAudioStream();
+micInstance.start();
+
+micInputStream.on('data', data => {
+    if (rec.acceptWaveform(data))
+        console.log(rec.result());
+    else
+        console.log(rec.partialResult());
+});
+
+process.on('SIGINT', function() {
+    console.log(rec.finalResult());
+    console.log("\nDone");
+    rec.free();
+    model.free();
+});

nodejs/demo/test_simple.js

@@ -0,0 +1,45 @@
+var vosk = require('..')
+
+const fs = require("fs");
+const { Readable } = require("stream");
+const wav = require("wav");
+
+MODEL_PATH = "model"
+FILE_NAME = "test.wav"
+
+if (!fs.existsSync(MODEL_PATH)) {
+    console.log("Please download the model from https://alphacephei.com/vosk/models and unpack as " + MODEL_PATH + " in the current folder.")
+    process.exit()
+}
+
+if (process.argv.length > 2)
+    FILE_NAME = process.argv[2]
+
+vosk.setLogLevel(0);
+const model = new vosk.Model(MODEL_PATH);
+
+const wfReader = new wav.Reader();
+const wfReadable = new Readable().wrap(wfReader);
+
+wfReader.on('format', async ({ audioFormat, sampleRate, channels }) => {
+    if (audioFormat != 1 || channels != 1) {
+        console.error("Audio file must be WAV format mono PCM.");
+        process.exit(1);
+    }
+    const rec = new vosk.Recognizer({model: model, sampleRate: sampleRate});
+    rec.setMaxAlternatives(10);
+    rec.setWords(true);
+    for await (const data of wfReadable) {
+        const end_of_speech = rec.acceptWaveform(data);
+        if (end_of_speech) {
+              console.log(JSON.stringify(rec.result(), null, 4));
+        }
+    }
+    console.log(JSON.stringify(rec.finalResult(rec), null, 4));
+    rec.free();
+});
+
+fs.createReadStream(FILE_NAME, {'highWaterMark': 4096}).pipe(wfReader).on('finish', 
+    function (err) {
+        model.free();
+});

nodejs/demo/test_simple_async.js

@@ -0,0 +1,46 @@
+var vosk = require('..')
+
+const async = require("async");
+const fs = require("fs");
+const { Readable } = require("stream");
+const wav = require("wav");
+
+MODEL_PATH = "model"
+
+if (!fs.existsSync(MODEL_PATH)) {
+    console.log("Please download the model from https://alphacephei.com/vosk/models and unpack as " + MODEL_PATH + " in the current folder.")
+    process.exit()
+}
+
+// Process file 4 times in parallel with a single model
+files = Array(10).fill("test.wav")
+const model = new vosk.Model(MODEL_PATH)
+
+async.filter(files, function(filePath, callback) {
+    const wfReader = new wav.Reader();
+    const wfReadable = new Readable().wrap(wfReader);
+
+    wfReader.on('format', async ({ audioFormat, sampleRate, channels }) => {
+        const rec = new vosk.Recognizer({model: model, sampleRate: sampleRate});
+        if (audioFormat != 1 || channels != 1) {
+            console.error("Audio file must be WAV format mono PCM.");
+            process.exit(1);
+        }
+        for await (const data of wfReadable) {
+            const end_of_speech = await rec.acceptWaveformAsync(data);
+            if (end_of_speech) {
+                  console.log(rec.result());
+            }
+        }
+        console.log(rec.finalResult(rec));
+        rec.free();
+        // Signal we are done without errors
+        callback(null, true);
+    });
+
+    fs.createReadStream(filePath, {'highWaterMark': 4096}).pipe(wfReader);
+
+}, function(err, results) {
+    model.free();
+    console.log("Done!!!!!");
+});

nodejs/demo/test_speaker.js

@@ -0,0 +1,53 @@
+const vosk = require('..');
+
+const fs = require("fs");
+const { Readable } = require("stream");
+const wav = require("wav");
+
+MODEL_PATH = "model"
+SPEAKER_MODEL_PATH = "model-spk"
+FILE_NAME = "test.wav"
+
+if (!fs.existsSync(MODEL_PATH)) {
+    console.log("Please download the model from https://alphacephei.com/vosk/models and unpack as " + MODEL_PATH + " in the current folder.")
+    process.exit()
+}
+
+if (!fs.existsSync(SPEAKER_MODEL_PATH)) {
+    console.log("Please download the speaker model from https://alphacephei.com/vosk/models and unpack as " + SPEAKER_MODEL_PATH + " in the current folder.")
+    process.exit()
+}
+
+if (process.argv.length > 2)
+    FILE_NAME = process.argv[2]
+
+const model = new vosk.Model(MODEL_PATH);
+const speakerModel = new vosk.SpeakerModel(SPEAKER_MODEL_PATH);
+
+const wfReader = new wav.Reader();
+const wfReadable = new Readable().wrap(wfReader);
+
+wfReader.on('format', async ({ audioFormat, sampleRate, channels }) => {
+    if (audioFormat != 1 || channels != 1) {
+        console.error('Audio file must be WAV format mono PCM.');
+        process.exit(1);
+    }
+//    const rec = new vosk.Recognizer({ model: model,
+//                                      speakerModel: speakerModel,
+//                                      sampleRate: sampleRate });
+    const rec = new vosk.Recognizer({model: model, sampleRate: sampleRate});
+    rec.setSpkModel(speakerModel);
+    for await (const data of wfReadable) {
+        const end_of_speech = rec.acceptWaveform(data);
+        if (end_of_speech) {
+             console.log(rec.finalResult());
+        }
+    }
+    console.log(rec.finalResult());
+    rec.free();
+});
+
+fs.createReadStream(FILE_NAME, { highWaterMark: 4096 }).pipe(wfReader).on('finish', function (err) {
+    model.free();
+    speakerModel.free();
+});

nodejs/demo/test_srt.js

@@ -0,0 +1,84 @@
+var vosk = require('..')
+
+const fs = require("fs");
+const { spawn } = require("child_process");
+const { stringifySync } = require('subtitle')
+
+MODEL_PATH = "model"
+FILE_NAME = "test.wav"
+SAMPLE_RATE = 16000 
+BUFFER_SIZE = 4000
+
+if (!fs.existsSync(MODEL_PATH)) {
+    console.log("Please download the model from https://alphacephei.com/vosk/models and unpack as " + MODEL_PATH + " in the current folder.")
+    process.exit()
+}
+
+if (process.argv.length > 2)
+    FILE_NAME = process.argv[2]
+
+vosk.setLogLevel(-1);
+const model = new vosk.Model(MODEL_PATH);
+const rec = new vosk.Recognizer({model: model, sampleRate: SAMPLE_RATE});
+rec.setWords(true);
+
+const ffmpeg_run = spawn('ffmpeg', ['-loglevel', 'quiet', '-i', FILE_NAME,
+                         '-ar', String(SAMPLE_RATE) , '-ac', '1',
+                         '-f', 's16le', '-bufsize', String(BUFFER_SIZE), '-']);
+
+WORDS_PER_LINE = 7
+const subs = []
+const results = []
+ffmpeg_run.stdout.on('data', (stdout) => {
+    if (rec.acceptWaveform(stdout))
+        results.push(rec.result());
+    results.push(rec.finalResult());
+});
+
+ffmpeg_run.on('exit', code => {
+    rec.free();
+    model.free();
+    results.forEach(element =>{
+        if (!element.hasOwnProperty('result'))
+            return;
+        const words = element.result;
+        if (words.length == 1) {
+            subs.push({
+                type: 'cue',
+                data: {
+                start: words[0].start,
+                end: words[0].end,
+                text: words[0].word
+                }
+            });
+            return;
+        }
+        var start_index = 0;
+        var text = words[0].word + " ";
+        for (let i = 1; i < words.length; i++) {
+            text += words[i].word + " ";
+            if (i % WORDS_PER_LINE == 0) {
+                subs.push({
+                    type: 'cue',
+                    data: {
+                      start: words[start_index].start,
+                      end: words[i].end,
+                      text: text.slice(0, text.length-1)
+                    }
+                });
+                start_index = i;
+                text = "";
+            }
+        }
+        if (start_index != words.length - 1)
+            subs.push({
+                type: 'cue',
+                data: {
+                  start: words[start_index].start,
+                  end: words[words.length-1].end,
+                  text: text
+                }
+            });
+    });
+    console.log(stringifySync(subs, {format: "SRT"}));
+});

nodejs/index.js

@@ -1,3 +1,427 @@
-exports.printMsg = function() {
-  console.log("This is a message from the Vosk package");
+// @ts-check
+'use strict'
+
+/**
+ * @module vosk
+ */
+
+const os = require('os');
+const path = require('path');
+/** @type {import('ffi-napi')} */
+const ffi = require('ffi-napi');
+/** @type {import('ref-napi')} */
+const ref = require('ref-napi');
+
+const vosk_model = ref.types.void;
+const vosk_model_ptr = ref.refType(vosk_model);
+const vosk_spk_model = ref.types.void;
+const vosk_spk_model_ptr = ref.refType(vosk_spk_model);
+const vosk_recognizer = ref.types.void;
+const vosk_recognizer_ptr = ref.refType(vosk_recognizer);
+
+/**
+ * @typedef {Object} WordResult
+ * @property {number} conf The confidence rate in the detection. 0 For unlikely, and 1 for totally accurate.
+ * @property {number} start The start of the timeframe when the word is pronounced in seconds
+ * @property {number} end The end of the timeframe when the word is pronounced in seconds
+ * @property {string} word The word detected
+ */
+
+/**
+ * @typedef {Object} RecognitionResults
+ * @property {WordResult[]} result Details about the words that have been detected
+ * @property {string} text The complete sentence that have been detected
+ */
+
+/**
+ * @typedef {Object} SpeakerResults
+ * @property {number[]} spk A floating vector representing speaker identity. It is usually about 128 numbers which uniquely represent speaker voice.
+ * @property {number} spk_frames The number of frames used to extract speaker vector. The more frames you have the more reliable is speaker vector.
+ */
+
+/**
+ * @typedef {Object} BaseRecognizerParam
+ * @property {Model} model The language model to be used 
+ * @property {number} sampleRate The sample rate. Most models are trained at 16kHz
+ */
+
+/**
+ * @typedef {Object} GrammarRecognizerParam
+ * @property {string[]} grammar The list of sentences to be recognized.
+ */
+
+/**
+ * @typedef {Object} SpeakerRecognizerParam
+ * @property {SpeakerModel} speakerModel The SpeakerModel that will enable speaker identification
+ */
+
+/**
+ * @template {SpeakerRecognizerParam | GrammarRecognizerParam} T
+ * @typedef {T extends SpeakerRecognizerParam ? SpeakerResults & RecognitionResults : RecognitionResults} Result
+ */
+
+/**
+ * @typedef {Object} PartialResults
+ * @property {string} partial The partial sentence that have been detected until now
+ */
+
+/** @typedef {string[]} Grammar The list of strings to be recognized */
+
+let soname;
+if (os.platform() == 'win32') {
+    // Update path to load dependent dlls
+    let currentPath = process.env.Path;
+    let dllDirectory = path.resolve(path.join(__dirname, "lib", "win-x86_64"));
+    process.env.Path = currentPath + path.delimiter + dllDirectory;
+
+    soname = path.join(__dirname, "lib", "win-x86_64", "libvosk.dll")
+} else if (os.platform() == 'darwin') {
+    soname = path.join(__dirname, "lib", "osx-x86_64", "libvosk.dylib")
+} else {
+    soname = path.join(__dirname, "lib", "linux-x86_64", "libvosk.so")
 }
+
+const libvosk = ffi.Library(soname, {
+    'vosk_set_log_level': ['void', ['int']],
+    'vosk_model_new': [vosk_model_ptr, ['string']],
+    'vosk_model_free': ['void', [vosk_model_ptr]],
+    'vosk_spk_model_new': [vosk_spk_model_ptr, ['string']],
+    'vosk_spk_model_free': ['void', [vosk_spk_model_ptr]],
+    'vosk_recognizer_new': [vosk_recognizer_ptr, [vosk_model_ptr, 'float']],
+    'vosk_recognizer_new_spk': [vosk_recognizer_ptr, [vosk_model_ptr, 'float', vosk_spk_model_ptr]],
+    'vosk_recognizer_new_grm': [vosk_recognizer_ptr, [vosk_model_ptr, 'float', 'string']],
+    'vosk_recognizer_free': ['void', [vosk_recognizer_ptr]],
+    'vosk_recognizer_set_max_alternatives': ['void', [vosk_recognizer_ptr, 'int']],
+    'vosk_recognizer_set_words': ['void', [vosk_recognizer_ptr, 'bool']],
+    'vosk_recognizer_set_spk_model': ['void', [vosk_recognizer_ptr, vosk_spk_model_ptr]],
+    'vosk_recognizer_accept_waveform': ['bool', [vosk_recognizer_ptr, 'pointer', 'int']],
+    'vosk_recognizer_result': ['string', [vosk_recognizer_ptr]],
+    'vosk_recognizer_final_result': ['string', [vosk_recognizer_ptr]],
+    'vosk_recognizer_partial_result': ['string', [vosk_recognizer_ptr]],
+    'vosk_recognizer_reset': ['void', [vosk_recognizer_ptr]],
+});
+
+/**
+ * Set log level for Kaldi messages
+ * @param {number} level The higher, the more verbose. 0 for infos and errors. Less than 0 for silence. 
+ */
+function setLogLevel(level) {
+    libvosk.vosk_set_log_level(level);
+}
+
+/**
+ * Build a Model from a model file.
+ * @see models [models](https://alphacephei.com/vosk/models)
+ */
+class Model {
+    /**
+     * Build a Model to be used with the voice recognition. Each language should have it's own Model
+     * for the speech recognition to work.
+     * @param {string} modelPath The abstract pathname to the model
+     * @see models [models](https://alphacephei.com/vosk/models)
+     */
+    constructor(modelPath) {
+        /**
+         * Store the handle.
+         * For internal use only
+         * @type {unknown}
+         */
+        this.handle = libvosk.vosk_model_new(modelPath);
+    }
+
+    /**
+     * Releases the model memory
+     *
+     * The model object is reference-counted so if some recognizer
+     * depends on this model, model might still stay alive. When
+     * last recognizer is released, model will be released too.
+     */
+    free() {
+        libvosk.vosk_model_free(this.handle);
+    }
+}
+
+/**
+ * Build a Speaker Model from a speaker model file.
+ * The Speaker Model enables speaker identification.
+ * @see models [models](https://alphacephei.com/vosk/models)
+ */
+class SpeakerModel {
+    /**
+     * Loads speaker model data from the file and returns the model object
+     *
+     * @param {string} modelPath the path of the model on the filesystem
+     * @see models [models](https://alphacephei.com/vosk/models)
+     */
+    constructor(modelPath) {
+        /**
+         * Store the handle.
+         * For internal use only
+         * @type {unknown}
+         */
+        this.handle = libvosk.vosk_spk_model_new(modelPath);
+    }
+
+    /**
+     * Releases the model memory
+     *
+     * The model object is reference-counted so if some recognizer
+     * depends on this model, model might still stay alive. When
+     * last recognizer is released, model will be released too.
+     */
+    free() {
+        libvosk.vosk_spk_model_free(this.handle);
+    }
+}
+
+/**
+ * Helper to narrow down type while using `hasOwnProperty`.
+ * @see hasOwnProperty [typescript issue](https://fettblog.eu/typescript-hasownproperty/)
+ * @template {Object} Obj
+ * @template {PropertyKey} Key
+ * @param {Obj} obj 
+ * @param {Key} prop 
+ * @returns {obj is Obj & Record<Key, unknown>}
+ */
+function hasOwnProperty(obj, prop) {
+    return obj.hasOwnProperty(prop)
+}
+
+/**
+ * @template T
+ * @template U
+ * @typedef {{ [P in Exclude<keyof T, keyof U>]?: never }} Without
+ */
+
+/**
+ * @template T
+ * @template U
+ * @typedef {(T | U) extends object ? (Without<T, U> & U) | (Without<U, T> & T) : T | U} XOR
+ */
+
+/**
+ * Create a Recognizer that will be able to transform audio streams into text using a Model.
+ * @template {XOR<SpeakerRecognizerParam, Partial<GrammarRecognizerParam>>} T extra parameter
+ * @see Model
+ */
+class Recognizer {
+    /**
+     * Create a Recognizer that will handle speech to text recognition.
+     * @constructor
+     * @param {T & BaseRecognizerParam} param The Recognizer parameters 
+     *
+     *  Sometimes when you want to improve recognition accuracy and when you don't need
+     *  to recognize large vocabulary you can specify a list of phrases to recognize. This
+     *  will improve recognizer speed and accuracy but might return [unk] if user said
+     *  something different.
+     *
+     *  Only recognizers with lookahead models support this type of quick configuration.
+     *  Precompiled HCLG graph models are not supported.
+     */
+    constructor(param) {
+        const { model, sampleRate } = param
+        // Prevent the user to receive unpredictable results
+        if (hasOwnProperty(param, 'speakerModel') && hasOwnProperty(param, 'grammar')) {
+            throw new Error('grammar and speakerModel cannot be used together for now.')
+        }
+        /**
+         * Store the handle.
+         * For internal use only
+         * @type {unknown}
+         */
+        this.handle = hasOwnProperty(param, 'speakerModel')
+            ? libvosk.vosk_recognizer_new_spk(model.handle, sampleRate, param.speakerModel.handle)
+            : hasOwnProperty(param, 'grammar')
+                ? libvosk.vosk_recognizer_new_grm(model.handle, sampleRate, JSON.stringify(param.grammar))
+                : libvosk.vosk_recognizer_new(model.handle, sampleRate);
+    }
+
+    /**
+     * Releases the model memory
+     *
+     * The model object is reference-counted so if some recognizer
+     * depends on this model, model might still stay alive. When
+     * last recognizer is released, model will be released too.
+     */
+    free() {
+        libvosk.vosk_recognizer_free(this.handle);
+    }
+
+    /** Configures recognizer to output n-best results
+     *
+     * <pre>
+     *   {
+     *      "alternatives": [
+     *          { "text": "one two three four five", "confidence": 0.97 },
+     *          { "text": "one two three for five", "confidence": 0.03 },
+     *      ]
+     *   }
+     * </pre>
+     *
+     * @param max_alternatives - maximum alternatives to return from recognition results
+     */
+    setMaxAlternatives(max_alternatives) {
+        libvosk.vosk_recognizer_set_max_alternatives(this.handle, max_alternatives);
+    }
+
+    /** Configures recognizer to output words with times
+     *
+     * <pre>
+     *   "result" : [{
+     *       "conf" : 1.000000,
+     *       "end" : 1.110000,
+     *       "start" : 0.870000,
+     *       "word" : "what"
+     *     }, {
+     *       "conf" : 1.000000,
+     *       "end" : 1.530000,
+     *       "start" : 1.110000,
+     *       "word" : "zero"
+     *     }, {
+     *       "conf" : 1.000000,
+     *       "end" : 1.950000,
+     *       "start" : 1.530000,
+     *       "word" : "zero"
+     *     }, {
+     *       "conf" : 1.000000,
+     *       "end" : 2.340000,
+     *       "start" : 1.950000,
+     *       "word" : "zero"
+     *     }, {
+     *       "conf" : 1.000000,
+     *       "end" : 2.610000,
+     *       "start" : 2.340000,
+     *       "word" : "one"
+     *     }],
+     * </pre>
+     *
+     * @param words - boolean value
+     */
+    setWords(words) {
+        libvosk.vosk_recognizer_set_words(this.handle, words);
+    }
+
+    /** Adds speaker recognition model to already created recognizer. Helps to initialize
+     * speaker recognition for grammar-based recognizer.
+     *
+     * @param spk_model Speaker recognition model
+     */
+    setSpkModel(spk_model) {
+        libvosk.vosk_recognizer_set_spk_model(this.handle, spk_model.handle);
+    }
+
+    /** 
+     * Accept voice data
+     *
+     * accept and process new chunk of voice data
+     *
+     * @param {Buffer} data audio data in PCM 16-bit mono format
+     * @returns true if silence is occured and you can retrieve a new utterance with result method
+     */
+    acceptWaveform(data) {
+        return libvosk.vosk_recognizer_accept_waveform(this.handle, data, data.length);
+    };
+
+    /** 
+     * Accept voice data
+     *
+     * accept and process new chunk of voice data
+     *
+     * @param {Buffer} data audio data in PCM 16-bit mono format
+     * @returns true if silence is occured and you can retrieve a new utterance with result method
+     */
+    acceptWaveformAsync(data) {
+        return new Promise((resolve, reject) => {
+            libvosk.vosk_recognizer_accept_waveform.async(this.handle, data, data.length, function(err, result) {
+                if (err) {
+                    reject(err);
+                } else {
+                    resolve(result);
+                }
+            });
+        });
+    };
+
+    /** Returns speech recognition result in a string
+     *
+     * @returns the result in JSON format which contains decoded line, decoded
+     *          words, times in seconds and confidences. You can parse this result
+     *          with any json parser
+     * <pre>
+     * {
+     *   "result" : [{
+     *       "conf" : 1.000000,
+     *       "end" : 1.110000,
+     *       "start" : 0.870000,
+     *       "word" : "what"
+     *     }, {
+     *       "conf" : 1.000000,
+     *       "end" : 1.530000,
+     *       "start" : 1.110000,
+     *       "word" : "zero"
+     *     }, {
+     *       "conf" : 1.000000,
+     *       "end" : 1.950000,
+     *       "start" : 1.530000,
+     *       "word" : "zero"
+     *     }, {
+     *       "conf" : 1.000000,
+     *       "end" : 2.340000,
+     *       "start" : 1.950000,
+     *       "word" : "zero"
+     *     }, {
+     *       "conf" : 1.000000,
+     *      "end" : 2.610000,
+     *       "start" : 2.340000,
+     *       "word" : "one"
+     *     }],
+     *   "text" : "what zero zero zero one"
+     *  }
+     * </pre>
+     */
+    resultString() {
+        return libvosk.vosk_recognizer_result(this.handle);
+    };
+
+    /**
+     * Returns speech recognition results
+     * @returns {Result<T>} The results
+     */
+    result() {
+        return JSON.parse(libvosk.vosk_recognizer_result(this.handle));
+    };
+
+    /**
+     * speech recognition text which is not yet finalized.
+     * result may change as recognizer process more data.
+     * 
+     * @returns {PartialResults} The partial results
+     */
+    partialResult() {
+        return JSON.parse(libvosk.vosk_recognizer_partial_result(this.handle));
+    };
+
+    /**
+     * Returns speech recognition result. Same as result, but doesn't wait for silence
+     * You usually call it in the end of the stream to get final bits of audio. It
+     * flushes the feature pipeline, so all remaining audio chunks got processed.
+     *
+     * @returns {Result<T>} speech result.
+     */
+    finalResult() {
+        return JSON.parse(libvosk.vosk_recognizer_final_result(this.handle));
+    };
+
+    /**
+     *
+     * Resets current results so the recognition can continue from scratch 
+     */
+    reset() {
+        libvosk.vosk_recognizer_reset(this.handle);
+    }
+}
+
+exports.setLogLevel = setLogLevel
+exports.Model = Model
+exports.SpeakerModel = SpeakerModel
+exports.Recognizer = Recognizer

nodejs/package.json

@@ -1,7 +1,7 @@
 {
   "name": "vosk",
-  "version": "0.1.0",
-  "description": "Node binding for continuous voice recoginition through pocketsphinx.",
+  "version": "0.3.30",
+  "description": "Node binding for continuous offline voice recoginition with Vosk library.",
   "repository": {
     "type": "git",
     "url": "git://github.com/alphacep/vosk-api.git"
@@ -13,6 +13,15 @@
     "voice"
   ],
   "author": "Alpha Cephei Inc.",
-  "license": "Apache 2.0",
-  "engines": { "node" : ">= 12.x.x" }
+  "license": "Apache-2.0",
+  "engines": {
+    "node": ">= 12.x.x"
+  },
+  "dependencies": {
+    "async": "^3.2.0",
+    "ffi-napi": "^4.0.3",
+    "mic": "^2.1.2",
+    "ref-napi": ">=2.0.0",
+    "wav": "^1.0.2"
+  }
 }

python/CMakeLists.txt

@@ -1,50 +0,0 @@
-cmake_minimum_required(VERSION 3.12.0)
-project(vosk)
-
-set(TOP_SRCDIR "${CMAKE_SOURCE_DIR}/..")
-if("x$ENV{WHEEL_FLAGS}" STREQUAL "x")
-    find_package (Python COMPONENTS Interpreter Development)
-else()
-    # docker case
-    set(Python_INCLUDE_DIR "")
-    set(Python_LIBRARY "")
-    set(TOP_SRCDIR "/io")
-endif()
-
-set(KALDI_ROOT "$ENV{KALDI_ROOT}")
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -O3 -DFST_NO_DYNAMIC_LINKING")
-include_directories("${TOP_SRCDIR}/src" "${KALDI_ROOT}/src" "${KALDI_ROOT}/tools/openfst/include" ${Python_INCLUDE_DIR})
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} $ENV{WHEEL_FLAGS}")
-
-find_package(SWIG REQUIRED)
-include(${SWIG_USE_FILE})
-
-set_property(SOURCE "${TOP_SRCDIR}/src/vosk.i" PROPERTY CPLUSPLUS ON)
-swig_add_library(vosk TYPE SHARED LANGUAGE Python OUTPUT_DIR "${CMAKE_LIBRARY_OUTPUT_DIRECTORY}" OUTFILE_DIR "."
-    SOURCES "${TOP_SRCDIR}/src/kaldi_recognizer.cc" 
-            "${TOP_SRCDIR}/src/spk_model.cc"
-            "${TOP_SRCDIR}/src/model.cc"
-            "${TOP_SRCDIR}/src/vosk.i")
-
-swig_link_libraries(vosk
-             ${KALDI_ROOT}/src/online2/kaldi-online2.a
-             ${KALDI_ROOT}/src/decoder/kaldi-decoder.a
-             ${KALDI_ROOT}/src/ivector/kaldi-ivector.a
-             ${KALDI_ROOT}/src/gmm/kaldi-gmm.a
-             ${KALDI_ROOT}/src/nnet3/kaldi-nnet3.a
-             ${KALDI_ROOT}/src/tree/kaldi-tree.a
-             ${KALDI_ROOT}/src/feat/kaldi-feat.a
-             ${KALDI_ROOT}/src/lat/kaldi-lat.a
-             ${KALDI_ROOT}/src/hmm/kaldi-hmm.a
-             ${KALDI_ROOT}/src/transform/kaldi-transform.a
-             ${KALDI_ROOT}/src/cudamatrix/kaldi-cudamatrix.a
-             ${KALDI_ROOT}/src/matrix/kaldi-matrix.a
-             ${KALDI_ROOT}/src/fstext/kaldi-fstext.a
-             ${KALDI_ROOT}/src/util/kaldi-util.a
-             ${KALDI_ROOT}/src/base/kaldi-base.a
-             ${KALDI_ROOT}/tools/openfst/lib/libfst.a
-             ${KALDI_ROOT}/tools/openfst/lib/libfstngram.a
-             ${KALDI_ROOT}/tools/OpenBLAS/libopenblas.a
-             -lgfortran)
-
-set_target_properties(_vosk PROPERTIES LINK_FLAGS_RELEASE -s)

python/README.md

@@ -1,3 +1,23 @@
-Python module for vosk-api
+This is a Python module for Vosk.
 
-See for details https://github.com/alphacep/vosk-api
+Vosk is an offline open source speech recognition toolkit. It enables
+speech recognition models for 17 languages and dialects - English, Indian
+English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish,
+Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino.
+
+Vosk models are small (50 Mb) but provide continuous large vocabulary
+transcription, zero-latency response with streaming API, reconfigurable
+vocabulary and speaker identification.
+
+Vosk supplies speech recognition for chatbots, smart home appliances,
+virtual assistants. It can also create subtitles for movies,
+transcription for lectures and interviews.
+
+Vosk scales from small devices like Raspberry Pi or Android smartphone to
+big clusters.
+
+# Documentation
+
+For installation instructions, examples and documentation visit [Vosk
+Website](https://alphacephei.com/vosk). See also our project on
+[Github](https://github.com/alphacep/vosk-api).

python/cmake.py

@@ -1,76 +0,0 @@
-# From https://github.com/raydouglass/cmake_setuptools
-
-import os
-import subprocess
-import shutil
-import sys
-from setuptools import Extension
-from setuptools.command.build_ext import build_ext
-from setuptools.command.build_py import build_py
-
-CMAKE_EXE = os.environ.get('CMAKE_EXE', shutil.which('cmake'))
-
-
-def check_for_cmake():
-    if not CMAKE_EXE:
-        print('cmake executable not found. '
-              'Set CMAKE_EXE environment or update your path')
-        sys.exit(1)
-
-
-class CMakeExtension(Extension):
-    """
-    setuptools.Extension for cmake
-    """
-
-    def __init__(self, name, pkg_name, sourcedir=''):
-        check_for_cmake()
-        Extension.__init__(self, name, sources=[])
-        self.sourcedir = os.path.abspath(sourcedir)
-        self.pkg_name = pkg_name
-
-
-class CMakeBuildExt(build_ext):
-    """
-    setuptools build_exit which builds using cmake & make
-    You can add cmake args with the CMAKE_COMMON_VARIABLES environment variable
-    """
-
-    def build_extension(self, ext):
-        check_for_cmake()
-        if isinstance(ext, CMakeExtension):
-            output_dir = os.path.abspath(
-                os.path.dirname(self.get_ext_fullpath(ext.pkg_name + "/" + ext.name)))
-
-            build_type = 'Debug' if self.debug else 'Release'
-            cmake_args = [CMAKE_EXE,
-                          ext.sourcedir,
-                          '-Wno-dev',
-                          '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=' + output_dir,
-                          '-DCMAKE_BUILD_TYPE=' + build_type]
-            cmake_args.extend(
-                [x for x in
-                 os.environ.get('CMAKE_COMMON_VARIABLES', '').split(' ')
-                 if x])
-
-            env = os.environ.copy()
-            if not os.path.exists(self.build_temp):
-                os.makedirs(self.build_temp)
-            subprocess.check_call(cmake_args,
-                                  cwd=self.build_temp,
-                                  env=env)
-            subprocess.check_call(['make', 'VERBOSE=1', ext.name],
-                                  cwd=self.build_temp,
-                                  env=env)
-            print()
-        else:
-            super().build_extension(ext)
-
-
-
-class CMakeBuildExtFirst(build_py):
-    def run(self):
-        self.run_command("build_ext")
-        return super().run()
-
-__all__ = ['CMakeBuildExt', 'CMakeExtension', 'CMakeBuildExtFirst']

python/example/test_alternatives.py

@@ -0,0 +1,34 @@
+#!/usr/bin/env python3
+
+from vosk import Model, KaldiRecognizer, SetLogLevel
+import sys
+import os
+import wave
+import json
+
+SetLogLevel(0)
+
+if not os.path.exists("model"):
+    print ("Please download the model from https://alphacephei.com/vosk/models and unpack as 'model' in the current folder.")
+    exit (1)
+
+wf = wave.open(sys.argv[1], "rb")
+if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
+    print ("Audio file must be WAV format mono PCM.")
+    exit (1)
+
+model = Model("model")
+rec = KaldiRecognizer(model, wf.getframerate())
+rec.SetMaxAlternatives(10)
+rec.SetWords(True)
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(json.loads(rec.Result()))
+    else:
+        print(json.loads(rec.PartialResult()))
+
+print(json.loads(rec.FinalResult()))

python/example/test_empty.py

@@ -1,10 +1,10 @@
-#!/usr/bin/python3
+#!/usr/bin/env python3
 
 from vosk import Model, KaldiRecognizer
 import sys
 import json
 
-model = Model("model-en")
+model = Model("model")
 rec = KaldiRecognizer(model, 8000)
 
 res = json.loads(rec.FinalResult())

python/example/test_ffmpeg.py

@@ -0,0 +1,33 @@
+#!/usr/bin/env python3
+
+from vosk import Model, KaldiRecognizer, SetLogLevel
+import sys
+import os
+import wave
+import subprocess
+
+SetLogLevel(0)
+
+if not os.path.exists("model"):
+    print ("Please download the model from https://alphacephei.com/vosk/models and unpack as 'model' in the current folder.")
+    exit (1)
+
+sample_rate=16000
+model = Model("model")
+rec = KaldiRecognizer(model, sample_rate)
+
+process = subprocess.Popen(['ffmpeg', '-loglevel', 'quiet', '-i',
+                            sys.argv[1],
+                            '-ar', str(sample_rate) , '-ac', '1', '-f', 's16le', '-'],
+                            stdout=subprocess.PIPE)
+
+while True:
+    data = process.stdout.read(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(rec.Result())
+    else:
+        print(rec.PartialResult())
+
+print(rec.FinalResult())