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51 Commits

Author SHA1 Message Date
Nickolay Shmyrev ea5177e22d Fix memory leak 2026-06-03 07:37:02 +02:00
Nickolay Shmyrev cdb9a183e7 Pure gpu setup 2025-07-23 10:11:59 +02:00
Nickolay Shmyrev ee0eac64f3 Upgrade onnxruntime
Optimal threads configuration for runtime, a bit faster
2025-02-24 10:27:42 +01:00
Nickolay Shmyrev 7303e38495 Fixes VAD for long segments 2024-11-03 03:55:22 +01:00
Nickolay Shmyrev 241123ccd2 Implement configurable endpointer delays 2024-08-12 13:43:53 +02:00
Nickolay Shmyrev 692717c500 Since we add short context, don't expect segment length to be exactly 20s 2024-07-18 16:27:38 +02:00
Nickolay Shmyrev 742c112ba4 Lenght bucketing in batching. Speedup 2024-06-17 16:36:56 +02:00
Nickolay Shmyrev 7a9a8cd6a1 Add more processing threads and simplify java multistream test 2024-06-06 09:09:18 +02:00
Nickolay Shmyrev cf76d35985 Refactor batching to use max size. Add multi test 2024-06-06 08:17:19 +02:00
Nickolay Shmyrev b72fdf9248 Add C test, fix memory leak 2024-06-03 10:07:01 +02:00
Nickolay Shmyrev 34ebc48539 One more threshold tuning 2024-05-20 17:00:25 +02:00
Nickolay Shmyrev 8409db4c15 Tune VAD accuracy 2024-05-20 09:50:47 +02:00
Nickolay Shmyrev dad4ba398b Temporary fixes 2024-04-15 21:31:55 +02:00
Nickolay Shmyrev 762bb60a73 Add flush for the speech tail 2024-04-01 22:53:20 +02:00
Nickolay Shmyrev 32b099bf85 Fix lock from randomly initialized field 2024-03-28 01:06:48 +01:00
Nickolay Shmyrev 030ad8d7a0 Add multitest 2024-03-27 09:56:12 +01:00
Nickolay Shmyrev a82c11bb11 Add new result retrieval API for java 2024-03-26 08:26:33 +01:00
Nickolay Shmyrev 57bfc1a96a Even better batching 2024-03-26 00:45:15 +01:00
Nickolay Shmyrev 1e71ad78f6 Implement arbitrary chunk size 2024-03-25 13:12:32 +01:00
Nickolay Shmyrev ba19a2bd37 Add multi test 2024-03-04 14:43:30 +01:00
Nickolay Shmyrev 6db8bfa0f5 Add batch API 2024-02-08 08:58:12 +01:00
Nickolay Shmyrev f4832ca301 Add batch processing 2024-02-05 16:09:48 +01:00
Nickolay Shmyrev aabd069cff Fix crash 2024-01-22 06:37:04 +01:00
Nickolay Shmyrev 02690ac087 New bindings 2024-01-15 02:39:56 +01:00
Nickolay Shmyrev aba84973b1 Update to latest gradio 2023-12-15 00:23:37 +01:00
Nickolay Shmyrev 339b1c5d00 Fix t_max endpointer config and introduce t_start_max for silent inputs. 2023-12-13 04:45:30 +01:00
Nickolay Shmyrev a35728fa67 Simplify server argument 2023-11-27 15:40:58 +01:00
Nickolay Shmyrev 322a57b512 Fix json output format 2023-11-27 15:39:49 +01:00
Gonzalo a21d1ad051 feat: enable usage of remote server and not only localhost (#1375) 2023-11-27 17:22:59 +03:00
Nickolay Shmyrev a47fa9147b Add endpointer delays parameter 2023-11-27 15:29:31 +01:00
Wire dfb76f0126 go: do not include libdl if building on Windows (#1464) 2023-11-12 01:26:17 +03:00
Nickolay Shmyrev c3e3fc002f Add online endpointer reconfiguration 2023-10-16 13:40:32 +02:00
Nickolay Shmyrev 62fc308bdf Sometimes python interpreter destroys the handle on exit before
the object. See

https://foss.heptapod.net/pypy/cffi/-/issues/340
2023-09-04 00:33:42 +02:00
Dmitri Soloviev 60c0e33901 simplify go example (#1430) 2023-08-12 23:04:46 +03:00
jsbxyyx 5d09ee8b2b close source input stream (#1) (#1428) 2023-08-11 00:55:33 +03:00
JohnGebbie 12f29a3415 go: Add SetGrm (#1346) 2023-04-29 05:35:01 +03:00
Nickolay Shmyrev d56221bcf2 Add mkl docker build 2023-04-06 02:38:06 +02:00
Nickolay Shmyrev a2eb39d2d7 Set number of MKL threads 2023-04-06 02:10:53 +02:00
Anton Romanov 128c216c61 Fix vosk-transcriber cli json format (#1304)
Fix error UnboundLocalError: local variable 'monologue' referenced before assignment in transcriber.py line 102
2023-03-29 03:12:16 +03:00
mason-acronode da87d0dad3 c# supports GPU inference (#1307)
* Added Batch P/Invoke to be able to use GPU based inference

* Modified Result method

* Modified Result method

* Fixed code to call BatchModel

---------

Co-authored-by: minsik.sim <minsik.sim@cyara.com>
2023-03-25 12:28:14 +03:00
Nickolay Shmyrev 9cee2899bb Update publishing plugin and simplify gradle build 2023-03-15 22:50:42 +01:00
Doomsdayrs a40742bbaf Kotlin: Numerous Improvements (#1274)
* kotlin: bump version for future release

* kotlin: Unify dependency versions

* kotlin: Add AUTHORS

* kotlin: Add MAINTENANCE.md

* kotlin: Add README.md

* kotlin: Update common/Vosk.kt documentation

* kotlin: Fix indentation in build.gradle.kts

* kotlin: Add .idea files to unify how IDEs work

* kotlin: Reformat all code

* kotlin: Update all code headers

* kotlin: Add @JvmStatic to objects

* kotlin: Use Consumer instead of Kotlin lambda in StorageService.kt

* kotlin: Annotate SpeechService.kt as throwing IOException

* kotlin: Add gradle migration settings

* kotlin: Add Deprecated annotation to jvm/LibVosk.setLogLevel

* kotlin: Overhaul exceptions

* Update documentation

* Add function for creating a Recognizer with a proper list

* Update documentation
2023-03-03 19:12:54 +03:00
Doomsdayrs d714dff8d3 Add Kotlin Multiplatform (#1241)
* Init

* Implement common

* Implement JVM target

* Ignore build/ directory

* Implement android

* Disable kotlin/native targets

* Remove jCenter()

* Upgrade android tools to 7.3.0

* Enforce not null for essential windows operations

* Add license headers

* Add maven-publish

* Add dokka for javadoc

* Add disabled kotlin/native for linux

This is disabled currently due to vosk
 not having a proper installation method on linux yet.

* Add empty constructors for JVM classes

* Fix library initialization for JVM

* Add DecoderDemo

* Add serialization support

* Convert no arg functions with returns to val properties

* Properly implement DecoderTest

* Import other android classes

* Properly name json parser as voskJson

* Add license headers to native target

* Unify free functions with Freeable interface

This makes it easy for Kotlin/Native to use a "use" function to
 auto free after use of a Freeable.

* Document JVM default constructor

* Add JVM specific constructors with NIO/IO

* Inline default constructors in Common

* Properly handle invalid paths

* Add android publishing block

* Merge serialization into common

* Update to Kotlin 1.8.10

* Update to JNA 5.13.0

* Put native target behind environment variable or override.

Due to a lack of official packaging,
 this is not possible currently.

* Properly handle Recognizer.acceptWaveform exceptions

* Add flow extension for converting (InputStream->Recognizer) to a flow.

* Use ByteFlow for waveform flow instead.

This allows custom readers, and more advanced backends,
 such as the Dicio example in DecoderTest.kt .
2023-02-17 03:47:20 +03:00
Nickolay Shmyrev 790c564d14 Ignore non-audio files in folder transcription 2023-02-10 00:57:14 +01:00
Nickolay Shmyrev 988ba3f257 Bump JNA dependency everywhere 2023-02-08 22:55:22 +01:00
Nickolay Shmyrev 2796da0a50 Sync android lib to java lib, throw exceptions on errors 2023-02-08 22:07:02 +01:00
Nickolay Shmyrev d9c6fc4958 Check if ivector folder is required 2023-02-08 21:00:15 +01:00
Nickolay Shmyrev fff40ce1a1 Gradle doesn't understand + in version 2022-12-18 22:25:26 +01:00
Nicholas Albion 2deb7de1dd Fixed #883 - use right class loader (#1228) 2022-12-17 14:45:15 +03:00
Nicholas Albion 7d87267c31 copied documentation to javadoc (#1230)
Co-authored-by: Nickolay V. Shmyrev <nshmyrev@gmail.com>
2022-12-17 14:41:33 +03:00
Nicholas Albion 64d84b01b1 added Recognizer.setGrammar(String) for java (#1229) 2022-12-17 11:43:27 +03:00
261 changed files with 13717 additions and 23809 deletions
+7 -7
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@@ -29,9 +29,9 @@ cmake_install.cmake
wheelhouse
__pycache__
*.egg-info
python/dist
python/build
python/vosk/*.so
bindings/python/dist
bindings/python/build
bindings/python/vosk/*.so
python/test/db
python/test/hyp
python/test/model
@@ -41,10 +41,10 @@ python/test/wav.scp
# Java
*.class
java/lib/model
java/demo/model
java/lib/build
java/demo/build
bindings/java/lib/model
bindings/java/demo/model
bindings/java/lib/build
bindings/java/demo/build
# CSharp
*.dll
-16
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@@ -1,16 +0,0 @@
notifications:
email: false
matrix:
include:
- sudo: required
services:
- docker
env: DOCKER_IMAGE=alphacep/kaldi-manylinux:latest
install:
- docker pull $DOCKER_IMAGE
script:
- docker run --rm -v `pwd`:/io $DOCKER_IMAGE $PRE_CMD /io/travis/build-wheels.sh
- ls wheelhouse/
-20
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@@ -1,20 +0,0 @@
cmake_minimum_required(VERSION 3.13)
project(vosk-api CXX)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_EXTENSIONS OFF)
add_library(vosk
src/language_model.cc
src/model.cc
src/recognizer.cc
src/spk_model.cc
src/vosk_api.cc
)
find_package(kaldi REQUIRED)
target_link_libraries(vosk PUBLIC kaldi-base kaldi-online2 kaldi-rnnlm fstngram)
include(GNUInstallDirs)
install(TARGETS vosk DESTINATION ${CMAKE_INSTALL_LIBDIR})
install(FILES src/vosk_api.h DESTINATION ${CMAKE_INSTALL_INCLUDEDIR})
-3
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@@ -1,3 +0,0 @@
Vosk library for Android
See for details https://alphacephei.com/vosk/android
-65
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@@ -1,65 +0,0 @@
buildscript {
repositories {
google()
mavenCentral()
}
dependencies {
classpath 'com.android.tools.build:gradle:4.2.0'
classpath 'com.vanniktech:gradle-maven-publish-plugin:0.18.0'
}
}
allprojects {
version = '0.3.45'
}
subprojects {
apply plugin: 'com.android.library'
apply plugin: 'maven-publish'
apply plugin: 'com.vanniktech.maven.publish'
plugins.withId('com.vanniktech.maven.publish') {
mavenPublish {
group = 'com.alphacephei'
version = version
sonatypeHost = 's01'
androidVariantToPublish = 'release'
}
}
repositories {
google()
mavenCentral()
}
publishing {
publications {
aar(MavenPublication) {
groupId 'com.alphacephei'
version version
pom {
url = 'http://www.alphacephei.com.com/vosk/'
licenses {
license {
name = 'The Apache License, Version 2.0'
url = 'http://www.apache.org/licenses/LICENSE-2.0.txt'
}
}
developers {
developer {
id = 'com.alphacephei'
name = 'Alpha Cephei Inc'
email = 'contact@alphacephei.com'
}
}
scm {
connection = 'scm:git:git://github.com/alphacep/vosk-api.git'
url = 'https://github.com/alphacep/vosk-api/'
}
}
}
}
}
}
-135
View File
@@ -1,135 +0,0 @@
#!/bin/bash
# Copyright 2019-2021 Alpha Cephei Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
if [ "x$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 "$ANDROID_NDK_HOME" ]; then
echo "ANDROID_NDK_HOME ($ANDROID_NDK_HOME) is missing. Make sure you have ndk installed"
exit 1
fi
set -x
OS_NAME=`echo $(uname -s) | tr '[:upper:]' '[:lower:]'`
ANDROID_TOOLCHAIN_PATH=$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/${OS_NAME}-x86_64
WORKDIR_BASE=`pwd`/build
PATH=$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/${OS_NAME}-x86_64/bin:$PATH
OPENFST_VERSION=1.8.0
for arch in armeabi-v7a arm64-v8a x86_64 x86; do
WORKDIR=${WORKDIR_BASE}/kaldi_${arch}
case $arch in
armeabi-v7a)
BLAS_ARCH=ARMV7
HOST=arm-linux-androideabi
AR=llvm-ar
RANLIB=llvm-ranlib
CC=armv7a-linux-androideabi21-clang
CXX=armv7a-linux-androideabi21-clang++
ARCHFLAGS="-mfloat-abi=softfp -mfpu=neon"
;;
arm64-v8a)
BLAS_ARCH=ARMV8
HOST=aarch64-linux-android
AR=llvm-ar
RANLIB=llvm-ranlib
CC=aarch64-linux-android21-clang
CXX=aarch64-linux-android21-clang++
ARCHFLAGS=""
;;
x86_64)
BLAS_ARCH=ATOM
HOST=x86_64-linux-android
AR=llvm-ar
RANLIB=llvm-ranlib
CC=x86_64-linux-android21-clang
CXX=x86_64-linux-android21-clang++
ARCHFLAGS=""
;;
x86)
BLAS_ARCH=ATOM
HOST=i686-linux-android
AR=llvm-ar
RANLIB=llvm-ranlib
CC=i686-linux-android21-clang
CXX=i686-linux-android21-clang++
ARCHFLAGS=""
;;
esac
mkdir -p $WORKDIR/local/lib
# openblas first
cd $WORKDIR
git clone -b v0.3.13 --single-branch https://github.com/xianyi/OpenBLAS
make -C OpenBLAS TARGET=$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 $WORKDIR
git clone https://github.com/alphacep/openfst
cd openfst
autoreconf -i
CXX=$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
make -j 8
make install
# Kaldi itself
cd $WORKDIR
git clone -b vosk-android --single-branch https://github.com/alphacep/kaldi
cd $WORKDIR/kaldi/src
CXX=$CXX AR=$AR RANLIB=$RANLIB CXXFLAGS="$ARCHFLAGS -O3 -DFST_NO_DYNAMIC_LINKING" ./configure --use-cuda=no \
--mathlib=OPENBLAS_CLAPACK --shared \
--android-incdir=${ANDROID_TOOLCHAIN_PATH}/sysroot/usr/include \
--host=$HOST --openblas-root=${WORKDIR}/local \
--fst-root=${WORKDIR}/local --fst-version=${OPENFST_VERSION}
make -j 8 depend
cd $WORKDIR/kaldi/src
make -j 8 online2 lm rnnlm
# Vosk-api
cd $WORKDIR
mkdir -p $WORKDIR/vosk
make -j 8 -C ${WORKDIR_BASE}/../../../src \
OUTDIR=$WORKDIR/vosk \
KALDI_ROOT=${WORKDIR}/kaldi \
OPENFST_ROOT=${WORKDIR}/local \
OPENBLAS_ROOT=${WORKDIR}/local \
CXX=$CXX \
EXTRA_LDFLAGS="-llog -static-libstdc++ -Wl,-soname,libvosk.so"
cp $WORKDIR/vosk/libvosk.so $WORKDIR/../../src/main/jniLibs/$arch/libvosk.so
done
-55
View File
@@ -1,55 +0,0 @@
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
ndkVersion = "22.1.7171670"
}
compileOptions {
sourceCompatibility JavaVersion.VERSION_1_8
targetCompatibility JavaVersion.VERSION_1_8
}
}
task buildVosk(type: Exec) {
commandLine './build-vosk.sh'
environment ANDROID_NDK_HOME: android.getNdkDirectory()
}
dependencies {
api '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
}
//generate pom nodes for dependencies
pom.withXml {
def dependenciesNode = asNode().appendNode('dependencies')
configurations.implementation.allDependencies.each { dependency ->
if (dependency.name != 'unspecified') {
def dependencyNode = dependenciesNode.appendNode('dependency')
dependencyNode.appendNode('groupId', dependency.group)
dependencyNode.appendNode('artifactId', dependency.name)
dependencyNode.appendNode('version', dependency.version)
}
}
}
}
}
}
-3
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@@ -1,3 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android" package="org.vosk">
</manifest>
@@ -1,62 +0,0 @@
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_partial_words(Pointer recognizer, boolean partial_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());
}
}
@@ -1,17 +0,0 @@
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());
}
}
@@ -1,66 +0,0 @@
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 setPartialWords(boolean partial_words) {
LibVosk.vosk_recognizer_set_partial_words(this.getPointer(), partial_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());
}
}
@@ -1,17 +0,0 @@
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());
}
}
@@ -1,46 +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.vosk.android;
/**
* Interface to receive recognition results
*/
public interface RecognitionListener {
/**
* Called when partial recognition result is available.
*/
void onPartialResult(String hypothesis);
/**
* Called after silence occured.
*/
void onResult(String hypothesis);
/**
* Called after stream end.
*/
void onFinalResult(String hypothesis);
/**
* Called when an error occurs.
*/
void onError(Exception exception);
/**
* Called after timeout expired
*/
void onTimeout();
}
@@ -1,257 +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.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));
}
}
}
}
}
@@ -1,165 +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.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));
}
}
}
}
@@ -1,150 +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.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();
}
}
-47
View File
@@ -1,47 +0,0 @@
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
}
}
}
}
@@ -1,3 +0,0 @@
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="org.vosk.model.en">
</manifest>
@@ -1,7 +0,0 @@
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)
-1
View File
@@ -1 +0,0 @@
include ':lib', ':model-en'
+16
View File
@@ -0,0 +1,16 @@
CFLAGS=-I../../src
LDFLAGS=-L../../src -lvosk -ldl -lpthread -Wl,-rpath,../../src
all: test_vosk test_vosk_multi
test_vosk: test_vosk.o
gcc $^ -o $@ $(LDFLAGS)
test_vosk_multi: test_vosk_multi.o
gcc $^ -o $@ $(LDFLAGS) -lpthread
%.o: %.c
gcc $(CFLAGS) -c -o $@ $<
clean:
rm -f *.o *.a test_vosk test_vosk_multi
+37
View File
@@ -0,0 +1,37 @@
#include <vosk_api.h>
#include <stdio.h>
#include <unistd.h>
int main() {
FILE *wavin;
char buf[3200];
int nread, final;
VoskModel *model = vosk_model_new("vosk-model-small-ru");
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);
vosk_recognizer_accept_waveform(recognizer, buf, nread);
while (vosk_recognizer_get_num_pending_results(recognizer) > 0)
sleep(0.05);
while (!vosk_recognizer_results_empty(recognizer)) {
printf("%s\n", vosk_recognizer_result_front(recognizer));
vosk_recognizer_result_pop(recognizer);
}
}
vosk_recognizer_flush(recognizer);
while (vosk_recognizer_get_num_pending_results(recognizer) > 0)
sleep(0.05);
while (!vosk_recognizer_results_empty(recognizer)) {
printf("%s\n", vosk_recognizer_result_front(recognizer));
vosk_recognizer_result_pop(recognizer);
}
vosk_recognizer_free(recognizer);
vosk_model_free(model);
fclose(wavin);
return 0;
}
+82
View File
@@ -0,0 +1,82 @@
#include <vosk_api.h>
#include <stdio.h>
#include <unistd.h>
#include <pthread.h>
#include <time.h>
#include <stdlib.h>
#include <string.h>
#define NUM_THREADS 10
#define NUM_FILES_PER_THREAD 3
#define NUM_FILES 400
#define MAX_FILE 100
VoskModel *model;
char infiles[NUM_FILES][MAX_FILE];
pthread_t thread_ids[NUM_THREADS];
static void *worker(void *data) {
int j;
for (j = 0; j < NUM_FILES_PER_THREAD; j++) {
FILE *wavin;
char buf[4000];
int nread;
VoskRecognizer *recognizer = vosk_recognizer_new(model, 16000.0);
int foffset = rand() % NUM_FILES;
wavin = fopen(infiles[foffset], "rb");
fseek(wavin, 44, SEEK_SET);
while (!feof(wavin)) {
nread = fread(buf, 1, sizeof(buf), wavin);
vosk_recognizer_accept_waveform(recognizer, buf, nread);
while (vosk_recognizer_get_num_pending_results(recognizer) > 0)
sleep(0.05);
while (!vosk_recognizer_results_empty(recognizer)) {
printf("%s\n", vosk_recognizer_result_front(recognizer));
vosk_recognizer_result_pop(recognizer);
}
}
vosk_recognizer_flush(recognizer);
while (vosk_recognizer_get_num_pending_results(recognizer) > 0)
sleep(0.05);
while (!vosk_recognizer_results_empty(recognizer)) {
printf("%s\n", vosk_recognizer_result_front(recognizer));
vosk_recognizer_result_pop(recognizer);
}
vosk_recognizer_free(recognizer);
fclose(wavin);
}
}
void read_file_list() {
FILE* infile;
infile = fopen("file.list", "r");
int i = 0;
while(i < NUM_FILES, fgets(infiles[i], MAX_FILE, infile)) {
infiles[i][strlen(infiles[i]) - 1] = 0;
printf("%s\n", infiles[i]);
i++;
}
fclose(infile);
}
int main() {
int i;
srand(0);
read_file_list();
model = vosk_model_new("vosk-model-small-ru");
for (i = 0; i < NUM_THREADS; i++) {
pthread_create(&thread_ids[i], NULL, worker, NULL);
}
for (i = 0; i < NUM_THREADS; i++) {
pthread_join(thread_ids[i], NULL);
}
vosk_model_free(model);
return 0;
}
@@ -16,7 +16,7 @@ repositories {
archivesBaseName = 'vosk'
group = 'com.alphacephei'
version = '0.3.45'
version = '0.4.0'
mavenPublish {
group = 'com.alphacephei'
@@ -25,7 +25,7 @@ mavenPublish {
}
dependencies {
api group: 'net.java.dev.jna', name: 'jna', version: '5.7.0'
api group: 'net.java.dev.jna', name: 'jna', version: '5.13.0'
testImplementation 'junit:junit:4.13'
}
@@ -1,7 +1,6 @@
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;
@@ -13,8 +12,9 @@ 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);
try (InputStream source = LibVosk.class.getResourceAsStream("/win32-x86-64/" + lib + ".dll")) {
Files.copy(source, new File(targetDir, lib + ".dll").toPath(), StandardCopyOption.REPLACE_EXISTING);
}
}
static {
@@ -23,7 +23,7 @@ public class LibVosk {
// 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 tmpFile = Native.extractFromResourcePath("/win32-x86-64/empty", LibVosk.class.getClassLoader());
File tmpDir = tmpFile.getParentFile();
new File(tmpDir, tmpFile.getName() + ".x").createNewFile();
@@ -48,40 +48,38 @@ public class LibVosk {
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 void vosk_recognizer_accept_waveform(Pointer recognizer, byte[] data, int len);
public static native Pointer vosk_recognizer_new_grm(Pointer model, float sample_rate, String grammar);
public static native void vosk_recognizer_accept_waveform_s(Pointer recognizer, short[] data, int len);
public static native void vosk_recognizer_set_max_alternatives(Pointer recognizer, int max_alternatives);
public static native void vosk_recognizer_accept_waveform_f(Pointer recognizer, float[] data, int len);
public static native void vosk_recognizer_set_words(Pointer recognizer, boolean words);
public static native void vosk_recognizer_flush(Pointer recognizer);
public static native void vosk_recognizer_set_partial_words(Pointer recognizer, boolean partial_words);
public static native String vosk_recognizer_result_front(Pointer recognizer);
public static native void vosk_recognizer_set_spk_model(Pointer recognizer, Pointer spk_model);
public static native void vosk_recognizer_result_pop(Pointer recognizer);
public static native boolean vosk_recognizer_accept_waveform(Pointer recognizer, byte[] data, int len);
public static native int vosk_recognizer_get_num_pending_results(Pointer recognizer);
public static native boolean vosk_recognizer_accept_waveform_s(Pointer recognizer, short[] data, int len);
public static native int vosk_recognizer_get_num_results(Pointer recognizer);
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 int vosk_recognizer_results_empty(Pointer recognizer);
public static native void vosk_recognizer_reset(Pointer recognizer);
public static native void vosk_recognizer_free(Pointer recognizer);
/**
* Set log level for Kaldi messages.
*
* @param loglevel the level
* 0 - default value to print info and error messages but no debug
* less than 0 - don't print info messages
* greater than 0 - more verbose mode
*/
public static void setLogLevel(LogLevel loglevel) {
vosk_set_log_level(loglevel.getValue());
}
@@ -0,0 +1,113 @@
package org.vosk;
import com.sun.jna.PointerType;
import java.io.IOException;
public class Recognizer extends PointerType implements AutoCloseable {
/**
* Creates the recognizer object.
*
* The recognizers process the speech and return text using shared model data
* @param model VoskModel containing static data for recognizer. Model can be
* shared across recognizers, even running in different threads.
* @param sampleRate The sample rate of the audio you are going to feed into the recognizer.
* Make sure this rate matches the audio content, it is a common
* issue causing accuracy problems.
* @throws IOException if the recognizer could not be created
*/
public Recognizer(Model model, float sampleRate) throws IOException {
super(LibVosk.vosk_recognizer_new(model, sampleRate));
if (getPointer() == null) {
throw new IOException("Failed to create a recognizer");
}
}
/**
* Accept and process new chunk of voice data.
*
* @param data - audio data in PCM 16-bit mono format
* @param len - length of the audio data
*/
public void acceptWaveForm(byte[] data, int len) {
LibVosk.vosk_recognizer_accept_waveform(this.getPointer(), data, len);
}
public void acceptWaveForm(short[] data, int len) {
LibVosk.vosk_recognizer_accept_waveform_s(this.getPointer(), data, len);
}
public void acceptWaveForm(float[] data, int len) {
LibVosk.vosk_recognizer_accept_waveform_f(this.getPointer(), data, len);
}
public void flush() {
LibVosk.vosk_recognizer_flush(this.getPointer());
}
/**
* Returns speech recognition result
*
* @return 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>
* {
* "text" : "what zero zero zero one"
* }
* </pre>
*
* If alternatives enabled it returns result with alternatives, see also #setMaxAlternatives().
*
* If word times enabled returns word time, see also #setWordTimes().
*/
public String getResult() {
return LibVosk.vosk_recognizer_result_front(this.getPointer());
}
/**
* Removes the latest result from the result queue
*/
public void popResult() {
LibVosk.vosk_recognizer_result_pop(this.getPointer());
}
/**
* Counts pending results
*/
public int getNumPendingResults() {
return LibVosk.vosk_recognizer_get_num_pending_results(this.getPointer());
}
/**
* Counts pending results
*/
public int getNumResults() {
return LibVosk.vosk_recognizer_get_num_results(this.getPointer());
}
/**
* Check if output queue is empty
*/
public boolean getResultsEmpty() {
return (LibVosk.vosk_recognizer_results_empty(this.getPointer()) == 1);
}
/**
* Resets the recognizer.
* Resets current results so the recognition can continue from scratch.
*/
public void reset() {
LibVosk.vosk_recognizer_reset(this.getPointer());
}
/**
* Releases recognizer object.
* Underlying model is also unreferenced and if needed, released.
*/
@Override
public void close() {
LibVosk.vosk_recognizer_free(this.getPointer());
}
}
@@ -0,0 +1,86 @@
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, InterruptedException {
LibVosk.setLogLevel(LogLevel.DEBUG);
try (Model model = new Model("../../python/example/vosk-model-small-ru");
InputStream ais = AudioSystem.getAudioInputStream(new BufferedInputStream(new FileInputStream("../../python/example/test-ru.wav")));
Recognizer recognizer = new Recognizer(model, 16000)) {
int nbytes;
byte[] b = new byte[4000];
while ((nbytes = ais.read(b)) >= 0) {
recognizer.acceptWaveForm(b, nbytes);
while (recognizer.getNumPendingResults() > 0) {
Thread.sleep(50);
}
while (!recognizer.getResultsEmpty()) {
System.out.println(recognizer.getResult());
recognizer.popResult();
}
}
recognizer.flush();
while (recognizer.getNumPendingResults() > 0) {
Thread.sleep(50);
}
while (!recognizer.getResultsEmpty()) {
System.out.println(recognizer.getResult());
recognizer.popResult();
}
}
Assert.assertTrue(true);
}
@Test
public void decoderTestBig() throws IOException, UnsupportedAudioFileException, InterruptedException {
LibVosk.setLogLevel(LogLevel.DEBUG);
try (Model model = new Model("../../python/example/vosk-model-small-ru");
InputStream ais = AudioSystem.getAudioInputStream(new BufferedInputStream(new FileInputStream("../../python/example/test-ru.wav")));
Recognizer recognizer = new Recognizer(model, 16000)) {
int nbytes;
byte[] b = new byte[400000];
while ((nbytes = ais.read(b)) >= 0) {
recognizer.acceptWaveForm(b, nbytes);
while (recognizer.getNumPendingResults() > 0) {
Thread.sleep(50);
}
while (!recognizer.getResultsEmpty()) {
System.out.println(recognizer.getResult());
recognizer.popResult();
}
}
recognizer.flush();
while (recognizer.getNumPendingResults() > 0) {
Thread.sleep(50);
}
while (!recognizer.getResultsEmpty()) {
System.out.println(recognizer.getResult());
recognizer.popResult();
}
}
Assert.assertTrue(true);
}
}
+48
View File
@@ -0,0 +1,48 @@
#!/usr/bin/env python3
import wave
import sys
import time
from vosk import Model, KaldiRecognizer, SetLogLevel
# You can set log level to -1 to disable debug messages
SetLogLevel(0)
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.")
sys.exit(1)
#model = Model("vosk-model-ru-0.53-private-0.1")
model = Model("vosk-model-small-ru")
rec = KaldiRecognizer(model, wf.getframerate())
while True:
data = wf.readframes(4000)
if len(data) == 0:
break
# Feed into waveform
rec.AcceptWaveform(data)
# Wait for processing
while rec.GetNumPendingResults() > 0:
time.sleep(0.05)
# Retrieve the results
while not rec.ResultsEmpty():
print (rec.Result())
rec.Pop()
rec.Flush()
# Wait for processing
while rec.GetNumPendingResults() > 0:
time.sleep(0.05)
# Retrieve the results
while not rec.ResultsEmpty():
print (rec.Result())
rec.Pop()
+62
View File
@@ -0,0 +1,62 @@
#!/usr/bin/env python3
import wave
import json
import sys
import os
import time
from timeit import default_timer as timer
from multiprocessing.dummy import Pool
from vosk import Model, KaldiRecognizer
#model = Model("vosk-model-ru-0.54-private-0.1")
model = Model("vosk-model-ru-0.62")
#model = Model("vosk-model-small-ru")
def recognize(line):
fn = line.strip()
wf = wave.open(fn, "rb")
rec = KaldiRecognizer(model, wf.getframerate())
results = []
while True:
data = wf.readframes(4000)
if len(data) == 0:
break
rec.AcceptWaveform(data)
while rec.GetNumPendingResults() > 0:
time.sleep(0.05)
while not rec.ResultsEmpty():
jres = json.loads(rec.Result())
if 'text' in jres:
print (jres)
results.append(jres['text'])
rec.Pop()
rec.Flush()
while rec.GetNumPendingResults() > 0:
time.sleep(0.05)
while not rec.ResultsEmpty():
jres = json.loads(rec.Result())
if 'text' in jres:
print (jres)
results.append(jres['text'])
rec.Pop()
owf = open(fn.replace(".wav", ".hyp"), "w")
owf.write("\n".join(results))
def main():
start = timer()
p = Pool(20)
p.map(recognize, open(sys.argv[1]).readlines())
allsize = sum([os.path.getsize(f.strip()) for f in open(sys.argv[1]).readlines()]) / 8000.0 / 2
dur = timer() - start
print (f"Recognized {allsize:.2f} seconds in {dur} seconds speed {dur / allsize:.3f} x RT")
main()
+30
View File
@@ -0,0 +1,30 @@
#!/usr/bin/env python3
import wave
import sys
import time
from vosk import Model, KaldiRecognizer, SetLogLevel
# You can set log level to -1 to disable debug messages
SetLogLevel(0)
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.")
sys.exit(1)
#model = Model("vosk-model-ru-0.53-private-0.1")
model = Model("vosk-model-small-ru")
rec = KaldiRecognizer(model, wf.getframerate())
data = wf.readframes(min(wf.getnframes(), 320000))
rec.AcceptWaveform(data)
rec.Flush()
while rec.GetNumPendingResults() > 0:
time.sleep(0.05)
while not rec.ResultsEmpty():
print (rec.Result())
rec.Pop()
+3 -3
View File
@@ -6,7 +6,7 @@ import platform
# Figure out environment for cross-compile
vosk_source = os.getenv("VOSK_SOURCE", os.path.abspath(os.path.join(os.path.dirname(__file__),
"..")))
"../..")))
system = os.environ.get('VOSK_SYSTEM', platform.system())
architecture = os.environ.get('VOSK_ARCHITECTURE', platform.architecture()[0])
machine = os.environ.get('VOSK_MACHINE', platform.machine())
@@ -45,7 +45,7 @@ with open("README.md", "rb") as fh:
setuptools.setup(
name="vosk",
version="0.3.45",
version="0.4.0",
author="Alpha Cephei Inc",
author_email="contact@alphacephei.com",
description="Offline open source speech recognition API based on Kaldi and Vosk",
@@ -53,7 +53,7 @@ setuptools.setup(
long_description_content_type="text/markdown",
url="https://github.com/alphacep/vosk-api",
packages=setuptools.find_packages(),
package_data = {'vosk': ['*.so', '*.dll', '*.dyld']},
package_data = {'vosk': ['*.so*', '*.dll', '*.dyld']},
entry_points = {
'console_scripts': ['vosk-transcriber=vosk.transcriber.cli:main'],
},
@@ -3,6 +3,7 @@ import sys
import srt
import datetime
import json
import enum
import requests
from urllib.request import urlretrieve
@@ -57,7 +58,8 @@ class Model:
raise Exception("Failed to create a model")
def __del__(self):
_c.vosk_model_free(self._handle)
if _c is not None:
_c.vosk_model_free(self._handle)
def vosk_model_find_word(self, word):
return _c.vosk_model_find_word(self._handle, word.encode("utf-8"))
@@ -140,6 +142,12 @@ class SpkModel:
def __del__(self):
_c.vosk_spk_model_free(self._handle)
class EndpointerMode(enum.Enum):
DEFAULT = 0
SHORT = 1
LONG = 2
VERY_LONG = 3
class KaldiRecognizer:
def __init__(self, *args):
@@ -172,6 +180,12 @@ class KaldiRecognizer:
def SetNLSML(self, enable_nlsml):
_c.vosk_recognizer_set_nlsml(self._handle, 1 if enable_nlsml else 0)
def SetEndpointerMode(self, mode):
_c.vosk_recognizer_set_endpointer_mode(self._handle, mode.value)
def SetEndpointerDelays(self, t_start_max, t_end, t_max):
_c.vosk_recognizer_set_endpointer_delays(self._handle, t_start_max, t_end, t_max)
def SetSpkModel(self, spk_model):
_c.vosk_recognizer_set_spk_model(self._handle, spk_model._handle)
@@ -179,19 +193,25 @@ class KaldiRecognizer:
_c.vosk_recognizer_set_grm(self._handle, grammar.encode("utf-8"))
def AcceptWaveform(self, data):
res = _c.vosk_recognizer_accept_waveform(self._handle, data, len(data))
if res < 0:
raise Exception("Failed to process waveform")
return res
_c.vosk_recognizer_accept_waveform(self._handle, data, len(data))
def Flush(self):
return _c.vosk_recognizer_flush(self._handle)
def Result(self):
return _ffi.string(_c.vosk_recognizer_result(self._handle)).decode("utf-8")
return _ffi.string(_c.vosk_recognizer_result_front(self._handle)).decode("utf-8")
def PartialResult(self):
return _ffi.string(_c.vosk_recognizer_partial_result(self._handle)).decode("utf-8")
def Pop(self):
return _c.vosk_recognizer_result_pop(self._handle)
def FinalResult(self):
return _ffi.string(_c.vosk_recognizer_final_result(self._handle)).decode("utf-8")
def GetNumPendingResults(self):
return _c.vosk_recognizer_get_num_pending_results(self._handle)
def GetNumResults(self):
return _c.vosk_recognizer_get_num_results(self._handle)
def ResultsEmpty(self):
return _c.vosk_recognizer_results_empty(self._handle)
def Reset(self):
return _c.vosk_recognizer_reset(self._handle)
@@ -225,51 +245,3 @@ class KaldiRecognizer:
def SetLogLevel(level):
return _c.vosk_set_log_level(level)
def GpuInit():
_c.vosk_gpu_init()
def GpuThreadInit():
_c.vosk_gpu_thread_init()
class BatchModel:
def __init__(self, model_path, *args):
self._handle = _c.vosk_batch_model_new(model_path.encode('utf-8'))
if self._handle == _ffi.NULL:
raise Exception("Failed to create a model")
def __del__(self):
_c.vosk_batch_model_free(self._handle)
def Wait(self):
_c.vosk_batch_model_wait(self._handle)
class BatchRecognizer:
def __init__(self, *args):
self._handle = _c.vosk_batch_recognizer_new(args[0]._handle, args[1])
if self._handle == _ffi.NULL:
raise Exception("Failed to create a recognizer")
def __del__(self):
_c.vosk_batch_recognizer_free(self._handle)
def AcceptWaveform(self, data):
res = _c.vosk_batch_recognizer_accept_waveform(self._handle, data, len(data))
def Result(self):
ptr = _c.vosk_batch_recognizer_front_result(self._handle)
res = _ffi.string(ptr).decode("utf-8")
_c.vosk_batch_recognizer_pop(self._handle)
return res
def FinishStream(self):
_c.vosk_batch_recognizer_finish_stream(self._handle)
def GetPendingChunks(self):
return _c.vosk_batch_recognizer_get_pending_chunks(self._handle)
@@ -15,8 +15,8 @@ parser.add_argument(
"--model", "-m", type=str,
help="model path")
parser.add_argument(
"--server", "-s", const="ws://localhost:2700", action="store_const",
help="use server for recognition")
"--server", "-s", type=str,
help="use server for recognition. For example ws://localhost:2700")
parser.add_argument(
"--list-models", default=False, action="store_true",
help="list available models")
@@ -99,7 +99,7 @@ class Transcriber:
monologues = {"schemaVersion":"2.0", "monologues":[], "text":[]}
for part in result:
if part["text"] != "":
monologue["text"] += part["text"]
monologues["text"] += [part["text"]]
for _, res in enumerate(result):
if not "result" in res:
continue
@@ -133,6 +133,12 @@ class Transcriber:
start_time = timer()
proc = await self.resample_ffmpeg_async(input_file)
result, tot_samples = await self.recognize_stream_server(proc)
await proc.wait()
# Bad input, continue
if tot_samples == 0:
self.queue.task_done()
continue
processed_result = self.format_result(result)
if output_file != "":
@@ -142,8 +148,6 @@ class Transcriber:
else:
print(processed_result)
await proc.wait()
elapsed = timer() - start_time
logging.info("Execution time: {:.3f} sec; "\
"xRT {:.3f}".format(elapsed, float(elapsed) * (2 * SAMPLE_RATE) / tot_samples))
@@ -165,8 +169,10 @@ class Transcriber:
rec = KaldiRecognizer(self.model, SAMPLE_RATE)
rec.SetWords(True)
result, tot_samples = self.recognize_stream(rec, stream)
processed_result = self.format_result(result)
if tot_samples == 0:
return
processed_result = self.format_result(result)
if inputdata[1] != "":
logging.info("File {} processing complete".format(inputdata[1]))
with open(inputdata[1], "w", encoding="utf-8") as fh:
@@ -3,7 +3,7 @@
import os
from cffi import FFI
vosk_root=os.environ.get("VOSK_SOURCE", "..")
vosk_root=os.environ.get("VOSK_SOURCE", "../..")
cpp_command = "cpp " + vosk_root + "/src/vosk_api.h"
ffibuilder = FFI()
-16
View File
@@ -1,16 +0,0 @@
CFLAGS=-I../src
LDFLAGS=-L../src -lvosk -ldl -lpthread -Wl,-rpath,../src
all: test_vosk test_vosk_speaker
test_vosk: test_vosk.o
gcc $^ -o $@ $(LDFLAGS)
test_vosk_speaker: test_vosk_speaker.o
gcc $^ -o $@ $(LDFLAGS)
%.o: %.c
gcc $(CFLAGS) -c -o $@ $<
clean:
rm -f *.o *.a test_vosk test_vosk_speaker
-29
View File
@@ -1,29 +0,0 @@
#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;
}
-30
View File
@@ -1,30 +0,0 @@
#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;
}
-12
View File
@@ -1,12 +0,0 @@
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.
-80
View File
@@ -1,80 +0,0 @@
using System;
using System.IO;
using Vosk;
public class VoskDemo
{
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());
}
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] = BitConverter.ToInt16(buffer, n);
}
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];
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());
}
public static void Main()
{
// You can set to -1 to disable logging messages
Vosk.Vosk.SetLogLevel(0);
Model model = new Model("model");
DemoBytes(model);
DemoFloats(model);
DemoSpeaker(model);
}
}
-17
View File
@@ -1,17 +0,0 @@
<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="0.3.45" />
</ItemGroup>
</Project>
-32
View File
@@ -1,32 +0,0 @@
<?xml version="1.0"?>
<package>
<metadata>
<id>Vosk</id>
<version>0.3.45</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>
<title>Vosk Speech Recognition Toolkit</title>
<description>Vosk is an offline open source speech recognition toolkit. It enables speech recognition models for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech. More to come.
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>
<repository type="git" url="https://github.com/alphacep/vosk-api.git" branch="master"/>
<copyright>Copyright 2020-2050 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>
-2
View File
@@ -1,2 +0,0 @@
mcs -out:lib/netstandard2.0/Vosk.dll -target:library src/*.cs
nuget pack
-11
View File
@@ -1,11 +0,0 @@
<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="$(MSBuildThisFileDirectory)\lib\osx-universal\*.dylib" Condition="'$([MSBuild]::IsOsPlatform(OSX))'" />
<None Include="@(NativeLibs)">
<Link>%(FileName)%(Extension)</Link>
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
</None>
</ItemGroup>
</Project>
-41
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@@ -1,41 +0,0 @@
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 FindWord(string word) {
return VoskPINVOKE.Model_vosk_model_find_word(handle, word);
}
}
}
-37
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@@ -1,37 +0,0 @@
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)) {
}
}
}
-17
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@@ -1,17 +0,0 @@
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();
}
}
}
-78
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@@ -1,78 +0,0 @@
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_partial_words")]
public static extern void VoskRecognizer_SetPartialWords(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();
}
}
-96
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@@ -1,96 +0,0 @@
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 SetPartialWords(bool partial_words) {
VoskPINVOKE.VoskRecognizer_SetPartialWords(handle, partial_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);
}
}
}
-176
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@@ -1,176 +0,0 @@
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,
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"Legal Entity" shall mean the union of the acting entity and all
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"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,
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"Work" shall mean the work of authorship, whether in Source or
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of this License, Derivative Works shall not include works that remain
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"Contribution" shall mean any work of authorship, including
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for any such Derivative Works as a whole, provided Your use,
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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,
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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
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of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
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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,
incidental, or consequential damages of any character arising as a
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Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
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the Work or Derivative Works thereof, You may choose to offer,
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on Your own behalf and on Your sole responsibility, not on behalf
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END OF TERMS AND CONDITIONS
-1
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@@ -1 +0,0 @@
See example subfolder for instructions how to use the module
-7
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@@ -1,7 +0,0 @@
// 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
-31
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@@ -1,31 +0,0 @@
To try this package do the following steps:
On Linux (we download library and set LD_LIBRARY_PATH)
```
git clone https://github.com/alphacep/vosk-api
cd vosk-api/go/example
wget https://github.com/alphacep/vosk-api/releases/download/v0.3.45/vosk-linux-x86_64-0.3.45.zip
unzip vosk-linux-x86_64-0.3.45.zip
wget https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip
unzip vosk-model-small-en-us-0.15.zip
mv vosk-model-small-en-us-0.15 model
cp ../../python/example/test.wav .
VOSK_PATH=`pwd`/vosk-linux-x86_64-0.3.45 LD_LIBRARY_PATH=$VOSK_PATH CGO_CPPFLAGS="-I $VOSK_PATH" CGO_LDFLAGS="-L $VOSK_PATH" go run . -f test.wav
```
for Windows (we place DLLs in current folder where linker finds them):
```
git clone https://github.com/alphacep/vosk-api
cd vosk-api/go/example
wget https://github.com/alphacep/vosk-api/releases/download/v0.3.45/vosk-linux-x86_64-0.3.45.zip
unzip vosk-linux-x86_64-0.3.45.zip
cp vosk-linux-x86_64-0.3.45/*.dll .
cp vosk-linux-x86_64-0.3.45/*.h .
wget https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip
unzip vosk-model-small-en-us-0.15.zip
mv vosk-model-small-en-us-0.15 model
cp ../../python/example/test.wav .
VOSK_PATH=`pwd` LD_LIBRARY_PATH=$VOSK_PATH CGO_CPPFLAGS="-I $VOSK_PATH" CGO_LDFLAGS="-L $VOSK_PATH -lvosk -lpthread -dl" go run . -f test.wav
```
-2
View File
@@ -1,2 +0,0 @@
// Example package for Vosk Go bindings.
package main
-63
View File
@@ -1,63 +0,0 @@
package main
import (
"bufio"
"flag"
"fmt"
"io"
"log"
"os"
"encoding/json"
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)
}
// we can check if word is in the vocabulary
// fmt.Println(model.FindWord("air"))
sampleRate := 16000.0
rec, err := vosk.NewRecognizer(model, sampleRate)
if err != nil {
log.Fatal(err)
}
rec.SetWords(1)
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(rec.Result())
}
}
// Unmarshal example for final result
var jres map[string]interface{}
json.Unmarshal([]byte(rec.FinalResult()), &jres)
fmt.Println(jres["text"])
}
-7
View File
@@ -1,7 +0,0 @@
module github.com/alphacep/vosk-api/go
go 1.16
replace (
github.com/alphacep/vosk-api/go => ./
)
-162
View File
@@ -1,162 +0,0 @@
package vosk
// #cgo CPPFLAGS: -I ${SRCDIR}/../src
// #cgo LDFLAGS: -L ${SRCDIR}/../src -lvosk -ldl -lpthread
// #include <stdlib.h>
// #include <vosk_api.h>
import "C"
import "unsafe"
// 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) {
cmodelPath := C.CString(modelPath)
defer C.free(unsafe.Pointer(cmodelPath))
internal := C.vosk_model_new(cmodelPath)
model := &VoskModel{model: internal}
return model, nil
}
func (m *VoskModel) Free() {
C.vosk_model_free(m.model)
}
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 string) int {
cstr := C.CString(word)
defer C.free(unsafe.Pointer(cstr))
i := C.vosk_model_find_word(m.model, cstr)
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) {
cspkModelPath := C.CString(spkModelPath)
defer C.free(unsafe.Pointer(cspkModelPath))
internal := C.vosk_spk_model_new(cspkModelPath)
spkModel := &VoskSpkModel{spkModel: internal}
return spkModel, nil
}
func freeSpkModel(model *VoskSpkModel) {
C.vosk_spk_model_free(model.spkModel)
}
func(s *VoskSpkModel) Free() {
C.vosk_spk_model_free(s.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)
}
func (r *VoskRecognizer) Free() {
C.vosk_recognizer_free(r.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, grammar string) (*VoskRecognizer, error) {
cgrammar := C.CString(grammar)
defer C.free(unsafe.Pointer(cgrammar))
internal := C.vosk_recognizer_new_grm(model.model, C.float(sampleRate), cgrammar)
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))
}
// SetPartialWords enables words with times in the partial ouput.
func (r *VoskRecognizer) SetPartialWords(words int) {
C.vosk_recognizer_set_partial_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() string {
return C.GoString(C.vosk_recognizer_result(r.rec))
}
// PartialResult returns a partial speech recognition result.
func (r *VoskRecognizer) PartialResult() string {
return C.GoString(C.vosk_recognizer_partial_result(r.rec))
}
// FinalResult returns a speech recognition result. Same as result, but doesn't wait
// for silence.
func (r *VoskRecognizer) FinalResult() string {
return 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()
}
-3
View File
@@ -1,3 +0,0 @@
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.
-407
View File
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-46
View File
@@ -1,46 +0,0 @@
//
// 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:.
}
}
@@ -1,98 +0,0 @@
{
"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"
}
}
@@ -1,27 +0,0 @@
<?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>
@@ -1,61 +0,0 @@
<?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>
-45
View File
@@ -1,45 +0,0 @@
<?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>
-117
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@@ -1,117 +0,0 @@
//
// 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()
}
}
-54
View File
@@ -1,54 +0,0 @@
//
// 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, sampleRate, model.spkModel)
}
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!)!;
}
}
-292
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@@ -1,292 +0,0 @@
// Copyright 2020-2021 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.
// 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 or NULL if problem occured */
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);
/** Check if a word can be recognized by the model
* @param word: the word
* @returns the word symbol if @param word exists inside the model
* or -1 otherwise.
* Reminding that word symbol 0 is for <epsilon> */
int vosk_model_find_word(VoskModel *model, const char *word);
/** 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 or NULL if problem occured */
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 model VoskModel containing static data for recognizer. Model can be
* shared across recognizers, even running in different threads.
* @param sample_rate The sample rate of the audio you going to feed into the recognizer.
* Make sure this rate matches the audio content, it is a common
* issue causing accuracy problems.
* @returns recognizer object or NULL if problem occured */
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 model VoskModel containing static data for recognizer. Model can be
* shared across recognizers, even running in different threads.
* @param sample_rate The sample rate of the audio you going to feed into the recognizer.
* Make sure this rate matches the audio content, it is a common
* issue causing accuracy problems.
* @param spk_model speaker model for speaker identification
* @returns recognizer object or NULL if problem occured */
VoskRecognizer *vosk_recognizer_new_spk(VoskModel *model, float sample_rate, VoskSpkModel *spk_model);
/** 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 model VoskModel containing static data for recognizer. Model can be
* shared across recognizers, even running in different threads.
* @param sample_rate The sample rate of the audio you going to feed into the recognizer.
* Make sure this rate matches the audio content, it is a common
* issue causing accuracy problems.
* @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 or NULL if problem occured */
VoskRecognizer *vosk_recognizer_new_grm(VoskModel *model, float sample_rate, const char *grammar);
/** Adds speaker model to already initialized recognizer
*
* Can add speaker recognition model to already created recognizer. Helps to initialize
* speaker recognition for grammar-based recognizer.
*
* @param spk_model Speaker recognition model */
void vosk_recognizer_set_spk_model(VoskRecognizer *recognizer, VoskSpkModel *spk_model);
/** 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
*/
void vosk_recognizer_set_max_alternatives(VoskRecognizer *recognizer, int max_alternatives);
/** Enables words with times in the output
*
* <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
*/
void vosk_recognizer_set_words(VoskRecognizer *recognizer, int words);
/** 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 1 if silence is occured and you can retrieve a new utterance with result method
* 0 if decoding continues
* -1 if exception occured */
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>
* {
* "text" : "what zero zero zero one"
* }
* </pre>
*
* If alternatives enabled it returns result with alternatives, see also vosk_recognizer_set_alternatives().
*
* If word times enabled returns word time, see also vosk_recognizer_set_word_times().
*/
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);
/** Resets the recognizer
*
* Resets current results so the recognition can continue from scratch */
void vosk_recognizer_reset(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);
/**
* Init, automatically select a CUDA device and allow multithreading.
* Must be called once from the main thread.
* Has no effect if HAVE_CUDA flag is not set.
*/
void vosk_gpu_init();
/**
* Init CUDA device in a multi-threaded environment.
* Must be called for each thread.
* Has no effect if HAVE_CUDA flag is not set.
*/
void vosk_gpu_thread_init();
#ifdef __cplusplus
}
#endif
#endif /* VOSK_API_H */
-36
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@@ -1,36 +0,0 @@
//
// 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)
}
}
-1
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@@ -1 +0,0 @@
#import "Vosk/vosk_api.h"
-16
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@@ -1,16 +0,0 @@
plugins {
id 'application'
}
application {
mainClass = 'org.vosk.demo.DecoderDemo'
}
repositories {
mavenCentral()
}
dependencies {
implementation group: 'net.java.dev.jna', name: 'jna', version: '5.7.0'
implementation group: 'com.alphacephei', name: 'vosk', version: '0.3.40+'
}
@@ -1,38 +0,0 @@
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());
}
}
}
@@ -1,17 +0,0 @@
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;
}
}
@@ -1,71 +0,0 @@
package org.vosk;
import com.sun.jna.PointerType;
import java.io.IOException;
public class Recognizer extends PointerType implements AutoCloseable {
public Recognizer(Model model, float sampleRate) throws IOException {
super(LibVosk.vosk_recognizer_new(model, sampleRate));
if (getPointer() == null) {
throw new IOException("Failed to create a recognizer");
}
}
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 setPartialWords(boolean partial_words) {
LibVosk.vosk_recognizer_set_partial_words(this.getPointer(), partial_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());
}
}
@@ -1,22 +0,0 @@
package org.vosk;
import com.sun.jna.PointerType;
import java.io.IOException;
public class SpeakerModel extends PointerType implements AutoCloseable {
public SpeakerModel() {
}
public SpeakerModel(String path) throws IOException {
super(LibVosk.vosk_spk_model_new(path));
if (getPointer() == null) {
throw new IOException("Failed to create a speaker model");
}
}
@Override
public void close() {
LibVosk.vosk_spk_model_free(this.getPointer());
}
}
@@ -1 +0,0 @@
Mainly for work around JNA API
@@ -1,103 +0,0 @@
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);
recognizer.setPartialWords(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);
}
@Test(expected = IOException.class)
public void decoderTestException() throws IOException {
Model model = new Model("model_missing");
}
}
-3
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@@ -1,3 +0,0 @@
demo/model
demo/model-spk
demo/test.wav
-34
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@@ -1,34 +0,0 @@
This is an FFI-NAPI wrapper for the Vosk library.
## Usage
Bindings mostly follow Vosk interface, some methods are not yet fully implemented.
See [demo folder](https://github.com/alphacep/vosk-api/tree/master/nodejs/demo) for
details.
## About
Vosk is an offline open source speech recognition toolkit. It enables
speech recognition for 20+ languages and dialects - English, Indian
English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish,
Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino,
Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish.
More to come.
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).
-33
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@@ -1,33 +0,0 @@
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());
});
-46
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@@ -1,46 +0,0 @@
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,
device: 'default',
});
var micInputStream = micInstance.getAudioStream();
micInputStream.on('data', data => {
if (rec.acceptWaveform(data))
console.log(rec.result());
else
console.log(rec.partialResult());
});
micInputStream.on('audioProcessExitComplete', function() {
console.log("Cleaning up");
console.log(rec.finalResult());
rec.free();
model.free();
});
process.on('SIGINT', function() {
console.log("\nStopping");
micInstance.stop();
});
micInstance.start();
-48
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@@ -1,48 +0,0 @@
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);
rec.setPartialWords(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));
} else {
console.log(JSON.stringify(rec.partialResult(), 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();
});

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