chore: import upstream snapshot with attribution

2026-07-13 12:45:58 +08:00
commit 2dd9ea9aee
261 changed files with 32719 additions and 0 deletions
@@ -0,0 +1,639 @@
+[MAIN]
+
+# Analyse import fallback blocks. This can be used to support both Python 2 and
+# 3 compatible code, which means that the block might have code that exists
+# only in one or another interpreter, leading to false positives when analysed.
+analyse-fallback-blocks=no
+
+# Load and enable all available extensions. Use --list-extensions to see a list
+# all available extensions.
+#enable-all-extensions=
+
+# In error mode, messages with a category besides ERROR or FATAL are
+# suppressed, and no reports are done by default. Error mode is compatible with
+# disabling specific errors.
+#errors-only=
+
+# Always return a 0 (non-error) status code, even if lint errors are found.
+# This is primarily useful in continuous integration scripts.
+#exit-zero=
+
+# A comma-separated list of package or module names from where C extensions may
+# be loaded. Extensions are loading into the active Python interpreter and may
+# run arbitrary code.
+extension-pkg-allow-list=
+
+# A comma-separated list of package or module names from where C extensions may
+# be loaded. Extensions are loading into the active Python interpreter and may
+# run arbitrary code. (This is an alternative name to extension-pkg-allow-list
+# for backward compatibility.)
+extension-pkg-whitelist=
+
+# Return non-zero exit code if any of these messages/categories are detected,
+# even if score is above --fail-under value. Syntax same as enable. Messages
+# specified are enabled, while categories only check already-enabled messages.
+fail-on=
+
+# Specify a score threshold under which the program will exit with error.
+fail-under=10
+
+# Interpret the stdin as a python script, whose filename needs to be passed as
+# the module_or_package argument.
+#from-stdin=
+
+# Files or directories to be skipped. They should be base names, not paths.
+ignore=CVS
+
+# Add files or directories matching the regular expressions patterns to the
+# ignore-list. The regex matches against paths and can be in Posix or Windows
+# format. Because '\' represents the directory delimiter on Windows systems, it
+# can't be used as an escape character.
+ignore-paths=
+
+# Files or directories matching the regular expression patterns are skipped.
+# The regex matches against base names, not paths. The default value ignores
+# Emacs file locks
+ignore-patterns=^\.#
+
+# List of module names for which member attributes should not be checked
+# (useful for modules/projects where namespaces are manipulated during runtime
+# and thus existing member attributes cannot be deduced by static analysis). It
+# supports qualified module names, as well as Unix pattern matching.
+ignored-modules=
+
+# Python code to execute, usually for sys.path manipulation such as
+# pygtk.require().
+#init-hook=
+
+# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the
+# number of processors available to use, and will cap the count on Windows to
+# avoid hangs.
+jobs=1
+
+# Control the amount of potential inferred values when inferring a single
+# object. This can help the performance when dealing with large functions or
+# complex, nested conditions.
+limit-inference-results=100
+
+# List of plugins (as comma separated values of python module names) to load,
+# usually to register additional checkers.
+load-plugins=
+
+# Pickle collected data for later comparisons.
+persistent=yes
+
+# Minimum Python version to use for version dependent checks. Will default to
+# the version used to run pylint.
+py-version=3.7
+
+# Discover python modules and packages in the file system subtree.
+recursive=no
+
+# When enabled, pylint would attempt to guess common misconfiguration and emit
+# user-friendly hints instead of false-positive error messages.
+suggestion-mode=yes
+
+# Allow loading of arbitrary C extensions. Extensions are imported into the
+# active Python interpreter and may run arbitrary code.
+unsafe-load-any-extension=no
+
+# In verbose mode, extra non-checker-related info will be displayed.
+#verbose=
+
+
+[REPORTS]
+
+# Python expression which should return a score less than or equal to 10. You
+# have access to the variables 'fatal', 'error', 'warning', 'refactor',
+# 'convention', and 'info' which contain the number of messages in each
+# category, as well as 'statement' which is the total number of statements
+# analyzed. This score is used by the global evaluation report (RP0004).
+evaluation=max(0, 0 if fatal else 10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10))
+
+# Template used to display messages. This is a python new-style format string
+# used to format the message information. See doc for all details.
+msg-template=
+
+# Set the output format. Available formats are text, parseable, colorized, json
+# and msvs (visual studio). You can also give a reporter class, e.g.
+# mypackage.mymodule.MyReporterClass.
+#output-format=
+
+# Tells whether to display a full report or only the messages.
+reports=no
+
+# Activate the evaluation score.
+score=yes
+
+
+[MESSAGES CONTROL]
+
+# Only show warnings with the listed confidence levels. Leave empty to show
+# all. Valid levels: HIGH, CONTROL_FLOW, INFERENCE, INFERENCE_FAILURE,
+# UNDEFINED.
+confidence=HIGH,
+           CONTROL_FLOW,
+           INFERENCE,
+           INFERENCE_FAILURE,
+           UNDEFINED
+
+# Disable the message, report, category or checker with the given id(s). You
+# can either give multiple identifiers separated by comma (,) or put this
+# option multiple times (only on the command line, not in the configuration
+# file where it should appear only once). You can also use "--disable=all" to
+# disable everything first and then re-enable specific checks. For example, if
+# you want to run only the similarities checker, you can use "--disable=all
+# --enable=similarities". If you want to run only the classes checker, but have
+# no Warning level messages displayed, use "--disable=all --enable=classes
+# --disable=W".
+disable=raw-checker-failed,
+        bad-inline-option,
+        locally-disabled,
+        file-ignored,
+        suppressed-message,
+        useless-suppression,
+        deprecated-pragma,
+        use-symbolic-message-instead,
+	missing-module-docstring, # added
+	missing-class-docstring, # added
+	missing-function-docstring, # added
+	invalid-name, # added
+	broad-except, # added
+	wrong-import-order, # added
+	consider-using-f-string, # added
+	logging-format-interpolation, # added
+	no-member, # added
+	consider-using-with, # added
+	unused-argument,
+	no-else-return, # added
+	too-few-public-methods, # added
+	import-error, # added
+	protected-access, # added
+	unused-variable, # added
+	R0801 # added (similarity of two scripts)
+
+# Enable the message, report, category or checker with the given id(s). You can
+# either give multiple identifier separated by comma (,) or put this option
+# multiple time (only on the command line, not in the configuration file where
+# it should appear only once). See also the "--disable" option for examples.
+enable=c-extension-no-member
+
+
+[BASIC]
+
+# Naming style matching correct argument names.
+argument-naming-style=snake_case
+
+# Regular expression matching correct argument names. Overrides argument-
+# naming-style. If left empty, argument names will be checked with the set
+# naming style.
+#argument-rgx=
+
+# Naming style matching correct attribute names.
+attr-naming-style=snake_case
+
+# Regular expression matching correct attribute names. Overrides attr-naming-
+# style. If left empty, attribute names will be checked with the set naming
+# style.
+#attr-rgx=
+
+# Bad variable names which should always be refused, separated by a comma.
+bad-names=foo,
+          bar,
+          baz,
+          toto,
+          tutu,
+          tata
+
+# Bad variable names regexes, separated by a comma. If names match any regex,
+# they will always be refused
+bad-names-rgxs=
+
+# Naming style matching correct class attribute names.
+class-attribute-naming-style=any
+
+# Regular expression matching correct class attribute names. Overrides class-
+# attribute-naming-style. If left empty, class attribute names will be checked
+# with the set naming style.
+#class-attribute-rgx=
+
+# Naming style matching correct class constant names.
+class-const-naming-style=UPPER_CASE
+
+# Regular expression matching correct class constant names. Overrides class-
+# const-naming-style. If left empty, class constant names will be checked with
+# the set naming style.
+#class-const-rgx=
+
+# Naming style matching correct class names.
+class-naming-style=PascalCase
+
+# Regular expression matching correct class names. Overrides class-naming-
+# style. If left empty, class names will be checked with the set naming style.
+#class-rgx=
+
+# Naming style matching correct constant names.
+const-naming-style=UPPER_CASE
+
+# Regular expression matching correct constant names. Overrides const-naming-
+# style. If left empty, constant names will be checked with the set naming
+# style.
+#const-rgx=
+
+# Minimum line length for functions/classes that require docstrings, shorter
+# ones are exempt.
+docstring-min-length=-1
+
+# Naming style matching correct function names.
+function-naming-style=snake_case
+
+# Regular expression matching correct function names. Overrides function-
+# naming-style. If left empty, function names will be checked with the set
+# naming style.
+#function-rgx=
+
+# Good variable names which should always be accepted, separated by a comma.
+good-names=i,
+           j,
+           k,
+           ex,
+           Run,
+           _,
+	   x,
+	   y,
+	   nx,
+	   ny
+
+# Good variable names regexes, separated by a comma. If names match any regex,
+# they will always be accepted
+good-names-rgxs=
+
+# Include a hint for the correct naming format with invalid-name.
+include-naming-hint=no
+
+# Naming style matching correct inline iteration names.
+inlinevar-naming-style=any
+
+# Regular expression matching correct inline iteration names. Overrides
+# inlinevar-naming-style. If left empty, inline iteration names will be checked
+# with the set naming style.
+#inlinevar-rgx=
+
+# Naming style matching correct method names.
+method-naming-style=snake_case
+
+# Regular expression matching correct method names. Overrides method-naming-
+# style. If left empty, method names will be checked with the set naming style.
+#method-rgx=
+
+# Naming style matching correct module names.
+module-naming-style=snake_case
+
+# Regular expression matching correct module names. Overrides module-naming-
+# style. If left empty, module names will be checked with the set naming style.
+#module-rgx=
+
+# Colon-delimited sets of names that determine each other's naming style when
+# the name regexes allow several styles.
+name-group=
+
+# Regular expression which should only match function or class names that do
+# not require a docstring.
+no-docstring-rgx=^_
+
+# List of decorators that produce properties, such as abc.abstractproperty. Add
+# to this list to register other decorators that produce valid properties.
+# These decorators are taken in consideration only for invalid-name.
+property-classes=abc.abstractproperty
+
+# Regular expression matching correct type variable names. If left empty, type
+# variable names will be checked with the set naming style.
+#typevar-rgx=
+
+# Naming style matching correct variable names.
+variable-naming-style=snake_case
+
+# Regular expression matching correct variable names. Overrides variable-
+# naming-style. If left empty, variable names will be checked with the set
+# naming style.
+#variable-rgx=
+
+
+[VARIABLES]
+
+# List of additional names supposed to be defined in builtins. Remember that
+# you should avoid defining new builtins when possible.
+additional-builtins=
+
+# Tells whether unused global variables should be treated as a violation.
+allow-global-unused-variables=yes
+
+# List of names allowed to shadow builtins
+allowed-redefined-builtins=
+
+# List of strings which can identify a callback function by name. A callback
+# name must start or end with one of those strings.
+callbacks=cb_,
+          _cb
+
+# A regular expression matching the name of dummy variables (i.e. expected to
+# not be used).
+dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_
+
+# Argument names that match this expression will be ignored.
+ignored-argument-names=_.*|^ignored_|^unused_
+
+# Tells whether we should check for unused import in __init__ files.
+init-import=no
+
+# List of qualified module names which can have objects that can redefine
+# builtins.
+redefining-builtins-modules=six.moves,past.builtins,future.builtins,builtins,io
+
+
+[SIMILARITIES]
+
+# Comments are removed from the similarity computation
+ignore-comments=yes
+
+# Docstrings are removed from the similarity computation
+ignore-docstrings=yes
+
+# Imports are removed from the similarity computation
+ignore-imports=yes
+
+# Signatures are removed from the similarity computation
+ignore-signatures=yes
+
+# Minimum lines number of a similarity.
+min-similarity-lines=4
+
+
+[MISCELLANEOUS]
+
+# List of note tags to take in consideration, separated by a comma.
+notes=FIXME,
+      XXX,
+      TODO
+
+# Regular expression of note tags to take in consideration.
+notes-rgx=
+
+
+[STRING]
+
+# This flag controls whether inconsistent-quotes generates a warning when the
+# character used as a quote delimiter is used inconsistently within a module.
+check-quote-consistency=no
+
+# This flag controls whether the implicit-str-concat should generate a warning
+# on implicit string concatenation in sequences defined over several lines.
+check-str-concat-over-line-jumps=no
+
+
+[IMPORTS]
+
+# List of modules that can be imported at any level, not just the top level
+# one.
+allow-any-import-level=
+
+# Allow wildcard imports from modules that define __all__.
+allow-wildcard-with-all=no
+
+# Deprecated modules which should not be used, separated by a comma.
+deprecated-modules=
+
+# Output a graph (.gv or any supported image format) of external dependencies
+# to the given file (report RP0402 must not be disabled).
+ext-import-graph=
+
+# Output a graph (.gv or any supported image format) of all (i.e. internal and
+# external) dependencies to the given file (report RP0402 must not be
+# disabled).
+import-graph=
+
+# Output a graph (.gv or any supported image format) of internal dependencies
+# to the given file (report RP0402 must not be disabled).
+int-import-graph=
+
+# Force import order to recognize a module as part of the standard
+# compatibility libraries.
+known-standard-library=
+
+# Force import order to recognize a module as part of a third party library.
+known-third-party=enchant
+
+# Couples of modules and preferred modules, separated by a comma.
+preferred-modules=
+
+
+[EXCEPTIONS]
+
+# Exceptions that will emit a warning when caught.
+overgeneral-exceptions=BaseException,
+                       Exception
+
+
+[DESIGN]
+
+# List of regular expressions of class ancestor names to ignore when counting
+# public methods (see R0903)
+exclude-too-few-public-methods=
+
+# List of qualified class names to ignore when counting class parents (see
+# R0901)
+ignored-parents=
+
+# Maximum number of arguments for function / method.
+max-args=5
+
+# Maximum number of attributes for a class (see R0902).
+max-attributes=7
+
+# Maximum number of boolean expressions in an if statement (see R0916).
+max-bool-expr=5
+
+# Maximum number of branch for function / method body.
+max-branches=12
+
+# Maximum number of locals for function / method body.
+max-locals=15
+
+# Maximum number of parents for a class (see R0901).
+max-parents=7
+
+# Maximum number of public methods for a class (see R0904).
+max-public-methods=20
+
+# Maximum number of return / yield for function / method body.
+max-returns=6
+
+# Maximum number of statements in function / method body.
+max-statements=50
+
+# Minimum number of public methods for a class (see R0903).
+min-public-methods=2
+
+
+[METHOD_ARGS]
+
+# List of qualified names (i.e., library.method) which require a timeout
+# parameter e.g. 'requests.api.get,requests.api.post'
+timeout-methods=requests.api.delete,requests.api.get,requests.api.head,requests.api.options,requests.api.patch,requests.api.post,requests.api.put,requests.api.request
+
+
+[LOGGING]
+
+# The type of string formatting that logging methods do. `old` means using %
+# formatting, `new` is for `{}` formatting.
+logging-format-style=old
+
+# Logging modules to check that the string format arguments are in logging
+# function parameter format.
+logging-modules=logging
+
+
+[FORMAT]
+
+# Expected format of line ending, e.g. empty (any line ending), LF or CRLF.
+expected-line-ending-format=
+
+# Regexp for a line that is allowed to be longer than the limit.
+ignore-long-lines=^\s*(# )?<?https?://\S+>?$
+
+# Number of spaces of indent required inside a hanging or continued line.
+indent-after-paren=4
+
+# String used as indentation unit. This is usually "    " (4 spaces) or "\t" (1
+# tab).
+indent-string='    '
+
+# Maximum number of characters on a single line.
+max-line-length=100
+
+# Maximum number of lines in a module.
+max-module-lines=1000
+
+# Allow the body of a class to be on the same line as the declaration if body
+# contains single statement.
+single-line-class-stmt=no
+
+# Allow the body of an if to be on the same line as the test if there is no
+# else.
+single-line-if-stmt=no
+
+
+[REFACTORING]
+
+# Maximum number of nested blocks for function / method body
+max-nested-blocks=5
+
+# Complete name of functions that never returns. When checking for
+# inconsistent-return-statements if a never returning function is called then
+# it will be considered as an explicit return statement and no message will be
+# printed.
+never-returning-functions=sys.exit,argparse.parse_error
+
+
+[TYPECHECK]
+
+# List of decorators that produce context managers, such as
+# contextlib.contextmanager. Add to this list to register other decorators that
+# produce valid context managers.
+contextmanager-decorators=contextlib.contextmanager
+
+# List of members which are set dynamically and missed by pylint inference
+# system, and so shouldn't trigger E1101 when accessed. Python regular
+# expressions are accepted.
+generated-members=
+
+# Tells whether to warn about missing members when the owner of the attribute
+# is inferred to be None.
+ignore-none=yes
+
+# This flag controls whether pylint should warn about no-member and similar
+# checks whenever an opaque object is returned when inferring. The inference
+# can return multiple potential results while evaluating a Python object, but
+# some branches might not be evaluated, which results in partial inference. In
+# that case, it might be useful to still emit no-member and other checks for
+# the rest of the inferred objects.
+ignore-on-opaque-inference=yes
+
+# List of symbolic message names to ignore for Mixin members.
+ignored-checks-for-mixins=no-member,
+                          not-async-context-manager,
+                          not-context-manager,
+                          attribute-defined-outside-init
+
+# List of class names for which member attributes should not be checked (useful
+# for classes with dynamically set attributes). This supports the use of
+# qualified names.
+ignored-classes=optparse.Values,thread._local,_thread._local,argparse.Namespace
+
+# Show a hint with possible names when a member name was not found. The aspect
+# of finding the hint is based on edit distance.
+missing-member-hint=yes
+
+# The minimum edit distance a name should have in order to be considered a
+# similar match for a missing member name.
+missing-member-hint-distance=1
+
+# The total number of similar names that should be taken in consideration when
+# showing a hint for a missing member.
+missing-member-max-choices=1
+
+# Regex pattern to define which classes are considered mixins.
+mixin-class-rgx=.*[Mm]ixin
+
+# List of decorators that change the signature of a decorated function.
+signature-mutators=
+
+
+[CLASSES]
+
+# Warn about protected attribute access inside special methods
+check-protected-access-in-special-methods=no
+
+# List of method names used to declare (i.e. assign) instance attributes.
+defining-attr-methods=__init__,
+                      __new__,
+                      setUp,
+                      __post_init__
+
+# List of member names, which should be excluded from the protected access
+# warning.
+exclude-protected=_asdict,
+                  _fields,
+                  _replace,
+                  _source,
+                  _make
+
+# List of valid names for the first argument in a class method.
+valid-classmethod-first-arg=cls
+
+# List of valid names for the first argument in a metaclass class method.
+valid-metaclass-classmethod-first-arg=cls
+
+
+[SPELLING]
+
+# Limits count of emitted suggestions for spelling mistakes.
+max-spelling-suggestions=4
+
+# Spelling dictionary name. Available dictionaries: none. To make it work,
+# install the 'python-enchant' package.
+spelling-dict=
+
+# List of comma separated words that should be considered directives if they
+# appear at the beginning of a comment and should not be checked.
+spelling-ignore-comment-directives=fmt: on,fmt: off,noqa:,noqa,nosec,isort:skip,mypy:
+
+# List of comma separated words that should not be checked.
+spelling-ignore-words=
+
+# A path to a file that contains the private dictionary; one word per line.
+spelling-private-dict-file=
+
+# Tells whether to store unknown words to the private dictionary (see the
+# --spelling-private-dict-file option) instead of raising a message.
+spelling-store-unknown-words=no
@@ -0,0 +1,25 @@
+This is a Python module for Vosk.
+
+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).
@@ -0,0 +1,558 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "Vosk Adaptation",
+      "provenance": [],
+      "collapsed_sections": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "accelerator": "GPU",
+    "gpuClass": "standard"
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "URzWMmv50-Ba",
+        "outputId": "0e096a99-74dd-42e2-efb1-9cba784c3664"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "/content\n",
+            "--2022-08-17 09:48:52--  https://alphacephei.com/vosk-colab/kaldi.tar.gz\n",
+            "Resolving alphacephei.com (alphacephei.com)... 188.40.21.16, 2a01:4f8:13a:279f::2\n",
+            "Connecting to alphacephei.com (alphacephei.com)|188.40.21.16|:443... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: 809174554 (772M) [application/octet-stream]\n",
+            "Saving to: ‘kaldi.tar.gz’\n",
+            "\n",
+            "kaldi.tar.gz        100%[===================>] 771.69M  20.3MB/s    in 40s     \n",
+            "\n",
+            "2022-08-17 09:49:33 (19.4 MB/s) - ‘kaldi.tar.gz’ saved [809174554/809174554]\n",
+            "\n"
+          ]
+        }
+      ],
+      "source": [
+        "%cd /content\n",
+        "!wget -c https://alphacephei.com/vosk-colab/kaldi.tar.gz\n",
+        "!tar xzf kaldi.tar.gz"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "%cd /content/kaldi/egs/ac\n",
+        "!wget -c https://alphacephei.com/vosk-colab/vosk-model-small-en-us-0.15-compile-colab.tar.gz\n",
+        "!rm -rf vosk-model-small-en-us-0.15-compile-colab\n",
+        "!tar xf vosk-model-small-en-us-0.15-compile-colab.tar.gz"
+      ],
+      "metadata": {
+        "id": "-065p7WC2SHh",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "241c7473-7464-48d5-b48d-dc6e3bf4971d"
+      },
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "/content/kaldi/egs/ac\n",
+            "--2022-08-17 10:28:26--  https://alphacephei.com/vosk-colab/vosk-model-small-en-us-0.15-compile-colab.tar.gz\n",
+            "Resolving alphacephei.com (alphacephei.com)... 188.40.21.16, 2a01:4f8:13a:279f::2\n",
+            "Connecting to alphacephei.com (alphacephei.com)|188.40.21.16|:443... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: 59618100 (57M) [application/octet-stream]\n",
+            "Saving to: ‘vosk-model-small-en-us-0.15-compile-colab.tar.gz’\n",
+            "\n",
+            "vosk-model-small-en 100%[===================>]  56.86M  18.6MB/s    in 3.6s    \n",
+            "\n",
+            "2022-08-17 10:28:30 (15.7 MB/s) - ‘vosk-model-small-en-us-0.15-compile-colab.tar.gz’ saved [59618100/59618100]\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "%cd /content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab\n",
+        "!ls\n",
+        "!cat compile-graph.sh\n",
+        "!bash compile-graph.sh"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "wuDjvNbd2sf9",
+        "outputId": "34a1d2fe-d443-4574-e25d-824e38eb3a78"
+      },
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab\n",
+            "compile-graph.sh  data_test  decode.sh\texp\t      local  path.sh  steps\n",
+            "conf\t\t  db\t     dict.py\tget_vocab.py  mfcc   RESULTS  utils\n",
+            "#!/bin/bash\n",
+            "\n",
+            "set -x\n",
+            "\n",
+            ". path.sh\n",
+            "\n",
+            "pip3 install phonetisaurus\n",
+            "\n",
+            "rm -rf data\n",
+            "rm -rf exp/tdnn/lgraph\n",
+            "rm -rf exp/tdnn/lgraph_orig\n",
+            "\n",
+            "mkdir -p data/dict\n",
+            "cp db/phone/* data/dict\n",
+            "./dict.py > data/dict/lexicon.txt\n",
+            "\n",
+            "python3 ./get_vocab.py > data/mix.vocab\n",
+            "ngramsymbols data/mix.vocab data/mix.syms\n",
+            "farcompilestrings --fst_type=compact --symbols=data/mix.syms --keep_symbols --unknown_symbol=\"[unk]\" db/extra.txt data/extra.far\n",
+            "ngramcount --order=3 data/extra.far - |\n",
+            "    ngramprint --integers | grep -v \"<unk>\" | ngramread |\n",
+            "    ngramshrink --method=count_prune --count_pattern=\"3+:3\" |\n",
+            "    ngrammake --method=witten_bell - data/extra.mod\n",
+            "gunzip -c db/en-50k-0.4-android.lm.gz | ngramread --renormalize_arpa --ARPA --symbols=data/mix.syms - data/en-us.mod\n",
+            "ngrammerge --method=\"bayes_model_merge\" --normalize --alpha=0.95 --beta=0.05 data/en-us.mod data/extra.mod data/en-us-mix.mod\n",
+            "ngramprint --ARPA data/en-us-mix.mod | gzip -c > data/en-us-mix.lm.gz\n",
+            "\n",
+            "# Prune for the first stage if needed\n",
+            "# ngramshrink --method=relative_entropy --theta=2e-8 data/en-us-mix.mod data/en-us-mix-prune.mod\n",
+            "# ngramprint --ARPA data/en-us-mix-prune.mod | gzip -c > data/en-us-mix-small.lm.gz\n",
+            "\n",
+            "utils/prepare_lang.sh data/dict \"[unk]\" data/lang_local data/lang\n",
+            "utils/format_lm.sh data/lang db/en-50k-0.4-android.lm.gz data/dict/lexicon.txt data/lang_test\n",
+            "utils/format_lm.sh data/lang data/en-us-mix.lm.gz data/dict/lexicon.txt data/lang_test_adapt\n",
+            "\n",
+            "utils/mkgraph.sh --self-loop-scale 1.0 data/lang_test exp/tdnn exp/tdnn/graph\n",
+            "utils/mkgraph.sh --self-loop-scale 1.0 data/lang_test_adapt exp/tdnn exp/tdnn/graph_adapt\n",
+            "\n",
+            "# Lookahead part goes OOM\n",
+            "#utils/mkgraph_lookahead.sh \\\n",
+            "#          --self-loop-scale 1.0 data/lang \\\n",
+            "#          exp/tdnn data/en-us-mix.lm.gz exp/tdnn/lgraph\n",
+            "#utils/mkgraph_lookahead.sh \\\n",
+            "#          --self-loop-scale 1.0 data/lang \\\n",
+            "#          exp/tdnn db/en-50k-0.4-android.lm.gz exp/tdnn/lgraph_orig\n",
+            "+ . path.sh\n",
+            "+++ pwd\n",
+            "++ export KALDI_ROOT=/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../..\n",
+            "++ KALDI_ROOT=/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../..\n",
+            "++ export PATH=/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/utils:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/openfst/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/fstbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/gmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/featbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/lm:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/sgmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/sgmm2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/fgmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/latbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnetbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnet2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/online2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/ivectorbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/lmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/chainbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnet3bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab:/opt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/tools/node/bin:/tools/google-cloud-sdk/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/sph2pipe_v2.5\n",
+            "++ PATH=/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/utils:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/openfst/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/fstbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/gmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/featbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/lm:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/sgmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/sgmm2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/fgmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/latbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnetbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnet2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/online2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/ivectorbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/lmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/chainbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnet3bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab:/opt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/tools/node/bin:/tools/google-cloud-sdk/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/sph2pipe_v2.5\n",
+            "++ export PATH=/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/ngram-1.3.7/src/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/utils:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/openfst/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/fstbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/gmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/featbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/lm:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/sgmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/sgmm2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/fgmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/latbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnetbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnet2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/online2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/ivectorbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/lmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/chainbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnet3bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab:/opt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/tools/node/bin:/tools/google-cloud-sdk/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/sph2pipe_v2.5\n",
+            "++ PATH=/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/ngram-1.3.7/src/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/utils:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/openfst/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/fstbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/gmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/featbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/lm:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/sgmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/sgmm2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/fgmmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/latbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnetbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnet2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/online2bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/ivectorbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/lmbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/chainbin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../src/nnet3bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab:/opt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/tools/node/bin:/tools/google-cloud-sdk/bin:/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/sph2pipe_v2.5\n",
+            "++ export LD_LIBRARY_PATH=/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/openfst/lib/fst/\n",
+            "++ LD_LIBRARY_PATH=/content/kaldi/egs/ac/vosk-model-small-en-us-0.15-compile-colab/../../../tools/openfst/lib/fst/\n",
+            "++ export LC_ALL=C\n",
+            "++ LC_ALL=C\n",
+            "+ pip3 install phonetisaurus\n",
+            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+            "Requirement already satisfied: phonetisaurus in /usr/local/lib/python3.7/dist-packages (0.3.0)\n",
+            "+ rm -rf data\n",
+            "+ rm -rf exp/tdnn/lgraph\n",
+            "+ rm -rf exp/tdnn/lgraph_orig\n",
+            "+ mkdir -p data/dict\n",
+            "+ cp db/phone/extra_questions.txt db/phone/nonsilence_phones.txt db/phone/optional_silence.txt db/phone/silence_phones.txt data/dict\n",
+            "+ ./dict.py\n",
+            "+ python3 ./get_vocab.py\n",
+            "+ ngramsymbols data/mix.vocab data/mix.syms\n",
+            "+ farcompilestrings --fst_type=compact --symbols=data/mix.syms --keep_symbols '--unknown_symbol=[unk]' db/extra.txt data/extra.far\n",
+            "+ ngramcount --order=3 data/extra.far -\n",
+            "+ ngrammake --method=witten_bell - data/extra.mod\n",
+            "+ ngramshrink --method=count_prune --count_pattern=3+:3\n",
+            "+ ngramread\n",
+            "+ ngramprint --integers\n",
+            "+ grep -v '<unk>'\n",
+            "+ ngramread --renormalize_arpa --ARPA --symbols=data/mix.syms - data/en-us.mod\n",
+            "+ gunzip -c db/en-50k-0.4-android.lm.gz\n",
+            "+ ngrammerge --method=bayes_model_merge --normalize --alpha=0.95 --beta=0.05 data/en-us.mod data/extra.mod data/en-us-mix.mod\n",
+            "+ ngramprint --ARPA data/en-us-mix.mod\n",
+            "+ gzip -c\n",
+            "+ utils/prepare_lang.sh data/dict '[unk]' data/lang_local data/lang\n",
+            "utils/prepare_lang.sh data/dict [unk] data/lang_local data/lang\n",
+            "Checking data/dict/silence_phones.txt ...\n",
+            "--> reading data/dict/silence_phones.txt\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> data/dict/silence_phones.txt is OK\n",
+            "\n",
+            "Checking data/dict/optional_silence.txt ...\n",
+            "--> reading data/dict/optional_silence.txt\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> data/dict/optional_silence.txt is OK\n",
+            "\n",
+            "Checking data/dict/nonsilence_phones.txt ...\n",
+            "--> reading data/dict/nonsilence_phones.txt\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> data/dict/nonsilence_phones.txt is OK\n",
+            "\n",
+            "Checking disjoint: silence_phones.txt, nonsilence_phones.txt\n",
+            "--> disjoint property is OK.\n",
+            "\n",
+            "Checking data/dict/lexicon.txt\n",
+            "--> reading data/dict/lexicon.txt\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> data/dict/lexicon.txt is OK\n",
+            "\n",
+            "Checking data/dict/extra_questions.txt ...\n",
+            "--> data/dict/extra_questions.txt is empty (this is OK)\n",
+            "--> SUCCESS [validating dictionary directory data/dict]\n",
+            "\n",
+            "**Creating data/dict/lexiconp.txt from data/dict/lexicon.txt\n",
+            "fstaddselfloops data/lang/phones/wdisambig_phones.int data/lang/phones/wdisambig_words.int \n",
+            "prepare_lang.sh: validating output directory\n",
+            "utils/validate_lang.pl data/lang\n",
+            "Checking existence of separator file\n",
+            "separator file data/lang/subword_separator.txt is empty or does not exist, deal in word case.\n",
+            "Checking data/lang/phones.txt ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> data/lang/phones.txt is OK\n",
+            "\n",
+            "Checking words.txt: #0 ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> data/lang/words.txt is OK\n",
+            "\n",
+            "Checking disjoint: silence.txt, nonsilence.txt, disambig.txt ...\n",
+            "--> silence.txt and nonsilence.txt are disjoint\n",
+            "--> silence.txt and disambig.txt are disjoint\n",
+            "--> disambig.txt and nonsilence.txt are disjoint\n",
+            "--> disjoint property is OK\n",
+            "\n",
+            "Checking sumation: silence.txt, nonsilence.txt, disambig.txt ...\n",
+            "--> found no unexplainable phones in phones.txt\n",
+            "\n",
+            "Checking data/lang/phones/context_indep.{txt, int, csl} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 10 entry/entries in data/lang/phones/context_indep.txt\n",
+            "--> data/lang/phones/context_indep.int corresponds to data/lang/phones/context_indep.txt\n",
+            "--> data/lang/phones/context_indep.csl corresponds to data/lang/phones/context_indep.txt\n",
+            "--> data/lang/phones/context_indep.{txt, int, csl} are OK\n",
+            "\n",
+            "Checking data/lang/phones/nonsilence.{txt, int, csl} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 156 entry/entries in data/lang/phones/nonsilence.txt\n",
+            "--> data/lang/phones/nonsilence.int corresponds to data/lang/phones/nonsilence.txt\n",
+            "--> data/lang/phones/nonsilence.csl corresponds to data/lang/phones/nonsilence.txt\n",
+            "--> data/lang/phones/nonsilence.{txt, int, csl} are OK\n",
+            "\n",
+            "Checking data/lang/phones/silence.{txt, int, csl} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 10 entry/entries in data/lang/phones/silence.txt\n",
+            "--> data/lang/phones/silence.int corresponds to data/lang/phones/silence.txt\n",
+            "--> data/lang/phones/silence.csl corresponds to data/lang/phones/silence.txt\n",
+            "--> data/lang/phones/silence.{txt, int, csl} are OK\n",
+            "\n",
+            "Checking data/lang/phones/optional_silence.{txt, int, csl} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 1 entry/entries in data/lang/phones/optional_silence.txt\n",
+            "--> data/lang/phones/optional_silence.int corresponds to data/lang/phones/optional_silence.txt\n",
+            "--> data/lang/phones/optional_silence.csl corresponds to data/lang/phones/optional_silence.txt\n",
+            "--> data/lang/phones/optional_silence.{txt, int, csl} are OK\n",
+            "\n",
+            "Checking data/lang/phones/disambig.{txt, int, csl} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 14 entry/entries in data/lang/phones/disambig.txt\n",
+            "--> data/lang/phones/disambig.int corresponds to data/lang/phones/disambig.txt\n",
+            "--> data/lang/phones/disambig.csl corresponds to data/lang/phones/disambig.txt\n",
+            "--> data/lang/phones/disambig.{txt, int, csl} are OK\n",
+            "\n",
+            "Checking data/lang/phones/roots.{txt, int} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 41 entry/entries in data/lang/phones/roots.txt\n",
+            "--> data/lang/phones/roots.int corresponds to data/lang/phones/roots.txt\n",
+            "--> data/lang/phones/roots.{txt, int} are OK\n",
+            "\n",
+            "Checking data/lang/phones/sets.{txt, int} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 41 entry/entries in data/lang/phones/sets.txt\n",
+            "--> data/lang/phones/sets.int corresponds to data/lang/phones/sets.txt\n",
+            "--> data/lang/phones/sets.{txt, int} are OK\n",
+            "\n",
+            "Checking data/lang/phones/extra_questions.{txt, int} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 9 entry/entries in data/lang/phones/extra_questions.txt\n",
+            "--> data/lang/phones/extra_questions.int corresponds to data/lang/phones/extra_questions.txt\n",
+            "--> data/lang/phones/extra_questions.{txt, int} are OK\n",
+            "\n",
+            "Checking data/lang/phones/word_boundary.{txt, int} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 166 entry/entries in data/lang/phones/word_boundary.txt\n",
+            "--> data/lang/phones/word_boundary.int corresponds to data/lang/phones/word_boundary.txt\n",
+            "--> data/lang/phones/word_boundary.{txt, int} are OK\n",
+            "\n",
+            "Checking optional_silence.txt ...\n",
+            "--> reading data/lang/phones/optional_silence.txt\n",
+            "--> data/lang/phones/optional_silence.txt is OK\n",
+            "\n",
+            "Checking disambiguation symbols: #0 and #1\n",
+            "--> data/lang/phones/disambig.txt has \"#0\" and \"#1\"\n",
+            "--> data/lang/phones/disambig.txt is OK\n",
+            "\n",
+            "Checking topo ...\n",
+            "\n",
+            "Checking word_boundary.txt: silence.txt, nonsilence.txt, disambig.txt ...\n",
+            "--> data/lang/phones/word_boundary.txt doesn't include disambiguation symbols\n",
+            "--> data/lang/phones/word_boundary.txt is the union of nonsilence.txt and silence.txt\n",
+            "--> data/lang/phones/word_boundary.txt is OK\n",
+            "\n",
+            "Checking word-level disambiguation symbols...\n",
+            "--> data/lang/phones/wdisambig.txt exists (newer prepare_lang.sh)\n",
+            "Checking word_boundary.int and disambig.int\n",
+            "--> generating a 98 word/subword sequence\n",
+            "--> resulting phone sequence from L.fst corresponds to the word sequence\n",
+            "--> L.fst is OK\n",
+            "--> generating a 49 word/subword sequence\n",
+            "--> resulting phone sequence from L_disambig.fst corresponds to the word sequence\n",
+            "--> L_disambig.fst is OK\n",
+            "\n",
+            "Checking data/lang/oov.{txt, int} ...\n",
+            "--> text seems to be UTF-8 or ASCII, checking whitespaces\n",
+            "--> text contains only allowed whitespaces\n",
+            "--> 1 entry/entries in data/lang/oov.txt\n",
+            "--> data/lang/oov.int corresponds to data/lang/oov.txt\n",
+            "--> data/lang/oov.{txt, int} are OK\n",
+            "\n",
+            "--> data/lang/L.fst is olabel sorted\n",
+            "--> data/lang/L_disambig.fst is olabel sorted\n",
+            "--> SUCCESS [validating lang directory data/lang]\n",
+            "+ utils/format_lm.sh data/lang db/en-50k-0.4-android.lm.gz data/dict/lexicon.txt data/lang_test\n",
+            "Converting 'db/en-50k-0.4-android.lm.gz' to FST\n",
+            "arpa2fst --disambig-symbol=#0 --read-symbol-table=data/lang_test/words.txt - data/lang_test/G.fst \n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:Read():arpa-file-parser.cc:94) Reading \\data\\ section.\n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:Read():arpa-file-parser.cc:149) Reading \\1-grams: section.\n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:Read():arpa-file-parser.cc:149) Reading \\2-grams: section.\n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:Read():arpa-file-parser.cc:149) Reading \\3-grams: section.\n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:RemoveRedundantStates():arpa-lm-compiler.cc:359) Reduced num-states from 1217362 to 185036\n",
+            "fstisstochastic data/lang_test/G.fst \n",
+            "0.476411 -3.03779\n",
+            "Succeeded in formatting LM: 'db/en-50k-0.4-android.lm.gz'\n",
+            "+ utils/format_lm.sh data/lang data/en-us-mix.lm.gz data/dict/lexicon.txt data/lang_test_adapt\n",
+            "Converting 'data/en-us-mix.lm.gz' to FST\n",
+            "arpa2fst --disambig-symbol=#0 --read-symbol-table=data/lang_test_adapt/words.txt - data/lang_test_adapt/G.fst \n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:Read():arpa-file-parser.cc:94) Reading \\data\\ section.\n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:Read():arpa-file-parser.cc:149) Reading \\1-grams: section.\n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:Read():arpa-file-parser.cc:149) Reading \\2-grams: section.\n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:Read():arpa-file-parser.cc:149) Reading \\3-grams: section.\n",
+            "LOG (arpa2fst[5.5.1046~1-76cd5]:RemoveRedundantStates():arpa-lm-compiler.cc:359) Reduced num-states from 1217646 to 185095\n",
+            "fstisstochastic data/lang_test_adapt/G.fst \n",
+            "6.81902e-07 -3.03779\n",
+            "Succeeded in formatting LM: 'data/en-us-mix.lm.gz'\n",
+            "+ utils/mkgraph.sh --self-loop-scale 1.0 data/lang_test exp/tdnn exp/tdnn/graph\n",
+            "tree-info exp/tdnn/tree \n",
+            "tree-info exp/tdnn/tree \n",
+            "fstdeterminizestar --use-log=true \n",
+            "fsttablecompose data/lang_test/L_disambig.fst data/lang_test/G.fst \n",
+            "fstminimizeencoded \n",
+            "fstpushspecial \n",
+            "fstisstochastic data/lang_test/tmp/LG.fst \n",
+            "-0.145498 -0.146281\n",
+            "[info]: LG not stochastic.\n",
+            "fstcomposecontext --context-size=2 --central-position=1 --read-disambig-syms=data/lang_test/phones/disambig.int --write-disambig-syms=data/lang_test/tmp/disambig_ilabels_2_1.int data/lang_test/tmp/ilabels_2_1.905 data/lang_test/tmp/LG.fst \n",
+            "fstisstochastic data/lang_test/tmp/CLG_2_1.fst \n",
+            "-0.145498 -0.146281\n",
+            "[info]: CLG not stochastic.\n",
+            "make-h-transducer --disambig-syms-out=exp/tdnn/graph/disambig_tid.int --transition-scale=1.0 data/lang_test/tmp/ilabels_2_1 exp/tdnn/tree exp/tdnn/final.mdl \n",
+            "fstrmepslocal \n",
+            "fsttablecompose exp/tdnn/graph/Ha.fst data/lang_test/tmp/CLG_2_1.fst \n",
+            "fstdeterminizestar --use-log=true \n",
+            "fstminimizeencoded \n",
+            "fstrmsymbols exp/tdnn/graph/disambig_tid.int \n",
+            "fstisstochastic exp/tdnn/graph/HCLGa.fst \n",
+            "-0.109817 -0.571742\n",
+            "HCLGa is not stochastic\n",
+            "add-self-loops --self-loop-scale=1.0 --reorder=true exp/tdnn/final.mdl exp/tdnn/graph/HCLGa.fst \n",
+            "fstisstochastic exp/tdnn/graph/HCLG.fst \n",
+            "1.90465e-09 -0.415046\n",
+            "[info]: final HCLG is not stochastic.\n",
+            "+ utils/mkgraph.sh --self-loop-scale 1.0 data/lang_test_adapt exp/tdnn exp/tdnn/graph_adapt\n",
+            "tree-info exp/tdnn/tree \n",
+            "tree-info exp/tdnn/tree \n",
+            "fstdeterminizestar --use-log=true \n",
+            "fsttablecompose data/lang_test_adapt/L_disambig.fst data/lang_test_adapt/G.fst \n",
+            "fstminimizeencoded \n",
+            "fstpushspecial \n",
+            "fstisstochastic data/lang_test_adapt/tmp/LG.fst \n",
+            "-0.148474 -0.149181\n",
+            "[info]: LG not stochastic.\n",
+            "fstcomposecontext --context-size=2 --central-position=1 --read-disambig-syms=data/lang_test_adapt/phones/disambig.int --write-disambig-syms=data/lang_test_adapt/tmp/disambig_ilabels_2_1.int data/lang_test_adapt/tmp/ilabels_2_1.979 data/lang_test_adapt/tmp/LG.fst \n",
+            "fstisstochastic data/lang_test_adapt/tmp/CLG_2_1.fst \n",
+            "-0.148474 -0.149181\n",
+            "[info]: CLG not stochastic.\n",
+            "make-h-transducer --disambig-syms-out=exp/tdnn/graph_adapt/disambig_tid.int --transition-scale=1.0 data/lang_test_adapt/tmp/ilabels_2_1 exp/tdnn/tree exp/tdnn/final.mdl \n",
+            "fstrmepslocal \n",
+            "fsttablecompose exp/tdnn/graph_adapt/Ha.fst data/lang_test_adapt/tmp/CLG_2_1.fst \n",
+            "fstdeterminizestar --use-log=true \n",
+            "fstminimizeencoded \n",
+            "fstrmsymbols exp/tdnn/graph_adapt/disambig_tid.int \n",
+            "fstisstochastic exp/tdnn/graph_adapt/HCLGa.fst \n",
+            "-0.113907 -0.5857\n",
+            "HCLGa is not stochastic\n",
+            "add-self-loops --self-loop-scale=1.0 --reorder=true exp/tdnn/final.mdl exp/tdnn/graph_adapt/HCLGa.fst \n",
+            "fstisstochastic exp/tdnn/graph_adapt/HCLG.fst \n",
+            "1.90465e-09 -0.423618\n",
+            "[info]: final HCLG is not stochastic.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!cat decode.sh\n",
+        "!bash decode.sh"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Sl3QBI1MXpc-",
+        "outputId": "affac8a3-782f-4000-e31f-81bfed47a37a"
+      },
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "#!/bin/bash\n",
+            "\n",
+            ". path.sh\n",
+            "\n",
+            "steps/make_mfcc.sh --nj 10 data_test/test_small exp/make_mfcc/test mfcc\n",
+            "steps/compute_cmvn_stats.sh data_test/test_small exp/make_mfcc/test mfcc\n",
+            "utils/fix_data_dir.sh data_test/test_small\n",
+            "\n",
+            "steps/online/nnet2/extract_ivectors_online.sh --nj 4 \\\n",
+            "          data_test/test_small exp/extractor \\\n",
+            "          exp/ivectors_test\n",
+            "\n",
+            "steps/nnet3/decode.sh --nj 4 \\\n",
+            "          --acwt 1.0 --post-decode-acwt 10.0 \\\n",
+            "          --online-ivector-dir exp/ivectors_test \\\n",
+            "          exp/tdnn/graph_adapt data_test/test_small exp/tdnn/decode_test_adapt\n",
+            "\n",
+            "steps/nnet3/decode.sh --nj 4 \\\n",
+            "          --acwt 1.0 --post-decode-acwt 10.0 \\\n",
+            "          --online-ivector-dir exp/ivectors_test \\\n",
+            "          exp/tdnn/graph data_test/test_small exp/tdnn/decode_test\n",
+            "\n",
+            "#steps/nnet3/decode_lookahead.sh --nj 4 \\\n",
+            "#          --acwt 1.0 --post-decode-acwt 10.0 \\\n",
+            "#          --online-ivector-dir exp/ivectors_test \\\n",
+            "#          exp/tdnn/lgraph data_test/test_small exp/tdnn/decode_test_adapt\n",
+            "#steps/nnet3/decode_lookahead.sh --nj 4 \\\n",
+            "#          --acwt 1.0 --post-decode-acwt 10.0 \\\n",
+            "#          --online-ivector-dir exp/ivectors_test \\\n",
+            "#          exp/tdnn/lgraph_orig data_test/test_small exp/tdnn/decode_test\n",
+            "steps/make_mfcc.sh --nj 10 data_test/test_small exp/make_mfcc/test mfcc\n",
+            "steps/make_mfcc.sh: moving data_test/test_small/feats.scp to data_test/test_small/.backup\n",
+            "utils/validate_data_dir.sh: Successfully validated data-directory data_test/test_small\n",
+            "steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.\n",
+            "steps/make_mfcc.sh: Succeeded creating MFCC features for test_small\n",
+            "steps/compute_cmvn_stats.sh data_test/test_small exp/make_mfcc/test mfcc\n",
+            "Succeeded creating CMVN stats for test_small\n",
+            "fix_data_dir.sh: kept all 50 utterances.\n",
+            "fix_data_dir.sh: old files are kept in data_test/test_small/.backup\n",
+            "steps/online/nnet2/extract_ivectors_online.sh --nj 4 data_test/test_small exp/extractor exp/ivectors_test\n",
+            "steps/online/nnet2/extract_ivectors_online.sh: extracting iVectors\n",
+            "steps/online/nnet2/extract_ivectors_online.sh: combining iVectors across jobs\n",
+            "steps/online/nnet2/extract_ivectors_online.sh: done extracting (online) iVectors to exp/ivectors_test using the extractor in exp/extractor.\n",
+            "steps/nnet3/decode.sh --nj 4 --acwt 1.0 --post-decode-acwt 10.0 --online-ivector-dir exp/ivectors_test exp/tdnn/graph_adapt data_test/test_small exp/tdnn/decode_test_adapt\n",
+            "steps/nnet2/check_ivectors_compatible.sh: WARNING: One of the directories do not contain iVector ID.\n",
+            "steps/nnet2/check_ivectors_compatible.sh: WARNING: That means it's you who's reponsible for keeping \n",
+            "steps/nnet2/check_ivectors_compatible.sh: WARNING: the directories compatible\n",
+            "steps/nnet3/decode.sh: feature type is raw\n",
+            "steps/diagnostic/analyze_lats.sh --cmd run.pl --iter final exp/tdnn/graph_adapt exp/tdnn/decode_test_adapt\n",
+            "steps/diagnostic/analyze_lats.sh: see stats in exp/tdnn/decode_test_adapt/log/analyze_alignments.log\n",
+            "Overall, lattice depth (10,50,90-percentile)=(1,1,4) and mean=2.4\n",
+            "steps/diagnostic/analyze_lats.sh: see stats in exp/tdnn/decode_test_adapt/log/analyze_lattice_depth_stats.log\n",
+            "score best paths\n",
+            "local/score.sh --cmd run.pl data_test/test_small exp/tdnn/graph_adapt exp/tdnn/decode_test_adapt\n",
+            "local/score.sh: scoring with word insertion penalty=0.0,0.5,1.0\n",
+            "score confidence and timing with sclite\n",
+            "Decoding done.\n",
+            "steps/nnet3/decode.sh --nj 4 --acwt 1.0 --post-decode-acwt 10.0 --online-ivector-dir exp/ivectors_test exp/tdnn/graph data_test/test_small exp/tdnn/decode_test\n",
+            "steps/nnet2/check_ivectors_compatible.sh: WARNING: One of the directories do not contain iVector ID.\n",
+            "steps/nnet2/check_ivectors_compatible.sh: WARNING: That means it's you who's reponsible for keeping \n",
+            "steps/nnet2/check_ivectors_compatible.sh: WARNING: the directories compatible\n",
+            "steps/nnet3/decode.sh: feature type is raw\n",
+            "steps/diagnostic/analyze_lats.sh --cmd run.pl --iter final exp/tdnn/graph exp/tdnn/decode_test\n",
+            "steps/diagnostic/analyze_lats.sh: see stats in exp/tdnn/decode_test/log/analyze_alignments.log\n",
+            "Overall, lattice depth (10,50,90-percentile)=(1,5,23) and mean=10.4\n",
+            "steps/diagnostic/analyze_lats.sh: see stats in exp/tdnn/decode_test/log/analyze_lattice_depth_stats.log\n",
+            "score best paths\n",
+            "local/score.sh --cmd run.pl data_test/test_small exp/tdnn/graph exp/tdnn/decode_test\n",
+            "local/score.sh: scoring with word insertion penalty=0.0,0.5,1.0\n",
+            "score confidence and timing with sclite\n",
+            "Decoding done.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!bash RESULTS"
+      ],
+      "metadata": {
+        "id": "ABtcNyUDX4S8",
+        "outputId": "d5e50be7-3293-4a59-94b8-9bfa46736481",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "%WER 11.77 [ 107 / 909, 13 ins, 7 del, 87 sub ] exp/tdnn/decode_test/wer_7_1.0\n",
+            "%WER 0.22 [ 2 / 909, 0 ins, 1 del, 1 sub ] exp/tdnn/decode_test_adapt/wer_10_1.0\n"
+          ]
+        }
+      ]
+    }
+  ]
+}
@@ -0,0 +1,30 @@
+#!/usr/bin/env python3
+
+import wave
+import sys
+import json
+
+from vosk import Model, KaldiRecognizer, SetLogLevel
+
+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(lang="en-us")
+rec = KaldiRecognizer(model, wf.getframerate())
+rec.SetMaxAlternatives(10)
+rec.SetWords(True)
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(json.loads(rec.Result()))
+    else:
+        print(json.loads(rec.PartialResult()))
+
+print(json.loads(rec.FinalResult()))
@@ -0,0 +1,11 @@
+#!/usr/bin/env python3
+
+import json
+
+from vosk import Model, KaldiRecognizer
+
+model = Model(lang="en-us")
+rec = KaldiRecognizer(model, 8000)
+
+res = json.loads(rec.FinalResult())
+print(res)
@@ -0,0 +1,55 @@
+#!/usr/bin/env python3
+
+import wave
+import sys
+
+from vosk import Model, KaldiRecognizer, SetLogLevel, EndpointerMode
+
+# 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(lang="en-us")
+
+# You can also init model by name or with a folder path
+# model = Model(model_name="vosk-model-en-us-0.21")
+# model = Model("models/en")
+
+rec = KaldiRecognizer(model, wf.getframerate())
+rec.SetWords(True)
+rec.SetPartialWords(True)
+rec.SetEndpointerMode(EndpointerMode.VERY_LONG)
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(rec.Result())
+    else:
+        print(rec.PartialResult())
+
+print(rec.FinalResult())
+
+
+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)
+
+rec.SetEndpointerDelays(0.5, 0.3, 10.0)
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(rec.Result())
+    else:
+        print(rec.PartialResult())
+
+print(rec.FinalResult())
@@ -0,0 +1,29 @@
+#!/usr/bin/env python3
+
+import subprocess
+import sys
+
+from vosk import Model, KaldiRecognizer, SetLogLevel
+
+SAMPLE_RATE = 16000
+
+SetLogLevel(0)
+
+model = Model(lang="en-us")
+rec = KaldiRecognizer(model, SAMPLE_RATE)
+
+with subprocess.Popen(["ffmpeg", "-loglevel", "quiet", "-i",
+                            sys.argv[1],
+                            "-ar", str(SAMPLE_RATE) , "-ac", "1", "-f", "s16le", "-"],
+                            stdout=subprocess.PIPE) as process:
+
+    while True:
+        data = process.stdout.read(4000)
+        if len(data) == 0:
+            break
+        if rec.AcceptWaveform(data):
+            print(rec.Result())
+        else:
+            print(rec.PartialResult())
+
+    print(rec.FinalResult())
@@ -0,0 +1,61 @@
+#!/usr/bin/env python3
+
+import sys
+import json
+
+from vosk import BatchModel, BatchRecognizer, GpuInit
+from timeit import default_timer as timer
+
+TOT_SAMPLES = 0
+
+GpuInit()
+
+model = BatchModel("model")
+
+with open(sys.argv[1]) as fn:
+    fnames = fn.readlines()
+    fds = [open(x.strip(), "rb") for x in fnames]
+    uids = [fname.strip().split("/")[-1][:-4] for fname in fnames]
+    recs = [BatchRecognizer(model, 16000) for x in fnames]
+    results = [""] * len(fnames)
+
+ended = set()
+
+start_time = timer()
+
+while True:
+
+    # Feed in the data
+    for i, fd in enumerate(fds):
+        if i in ended:
+            continue
+        data = fd.read(8000)
+        if len(data) == 0:
+            recs[i].FinishStream()
+            ended.add(i)
+            continue
+        recs[i].AcceptWaveform(data)
+        TOT_SAMPLES += len(data)
+
+    # Wait for results from CUDA
+    model.Wait()
+
+    # Retrieve and add results
+    for i, fd in enumerate(fds):
+        res = recs[i].Result()
+        if len(res) != 0:
+            results[i] = results[i] + " " + json.loads(res)["text"]
+
+    if len(ended) == len(fds):
+        break
+
+end_time = timer()
+
+for i, res in enumerate(results):
+    print(uids[i], res.strip())
+
+print("Processed %.3f seconds of audio in %.3f seconds (%.3f xRT)"
+    % (TOT_SAMPLES / 16000.0 / 2,
+    end_time - start_time,
+    (TOT_SAMPLES / 16000.0 / 2 / (end_time - start_time))),
+    file=sys.stderr)
@@ -0,0 +1,39 @@
+#!/usr/bin/env python3
+
+import json
+import gradio as gr
+
+from vosk import KaldiRecognizer, Model
+
+model = Model(lang="en-us")
+
+def transcribe(stream, new_chunk):
+
+    sample_rate, audio_data = new_chunk
+    audio_data = audio_data.tobytes()
+
+    if stream is None:
+        rec = KaldiRecognizer(model, sample_rate)
+        result = []
+    else:
+        rec, result = stream
+
+    if rec.AcceptWaveform(audio_data):
+        text_result = json.loads(rec.Result())["text"]
+        if text_result != "":
+            result.append(text_result)
+        partial_result = ""
+    else:
+        partial_result = json.loads(rec.PartialResult())["partial"] + " "
+
+    return (rec, result), "\n".join(result) + "\n" + partial_result
+
+gr.Interface(
+    fn=transcribe,
+    inputs=[
+        "state", gr.Audio(sources=["microphone"], type="numpy", streaming=True),
+    ],
+    outputs=[
+        "state", "text",
+    ],
+    live=True).launch(share=True)
@@ -0,0 +1,11 @@
+#!/usr/bin/env python3
+
+import wave
+import sys
+
+from vosk import Processor
+
+proc = Processor("ru_itn_tagger.fst", "ru_itn_verbalizer.fst")
+print (proc.process("у нас десять яблок"))
+print (proc.process("у нас десять яблок и десять миллилитров воды точка"))
+print (proc.process("мы пришли в восемь часов пять минут"))
@@ -0,0 +1,89 @@
+#!/usr/bin/env python3
+
+# prerequisites: as described in https://alphacephei.com/vosk/install and also python module `sounddevice` (simply run command `pip install sounddevice`)
+# Example usage using Dutch (nl) recognition model: `python test_microphone.py -m nl`
+# For more help run: `python test_microphone.py -h`
+
+import argparse
+import queue
+import sys
+import sounddevice as sd
+
+from vosk import Model, KaldiRecognizer
+
+q = queue.Queue()
+
+def int_or_str(text):
+    """Helper function for argument parsing."""
+    try:
+        return int(text)
+    except ValueError:
+        return text
+
+def callback(indata, frames, time, status):
+    """This is called (from a separate thread) for each audio block."""
+    if status:
+        print(status, file=sys.stderr)
+    q.put(bytes(indata))
+
+parser = argparse.ArgumentParser(add_help=False)
+parser.add_argument(
+    "-l", "--list-devices", action="store_true",
+    help="show list of audio devices and exit")
+args, remaining = parser.parse_known_args()
+if args.list_devices:
+    print(sd.query_devices())
+    parser.exit(0)
+parser = argparse.ArgumentParser(
+    description=__doc__,
+    formatter_class=argparse.RawDescriptionHelpFormatter,
+    parents=[parser])
+parser.add_argument(
+    "-f", "--filename", type=str, metavar="FILENAME",
+    help="audio file to store recording to")
+parser.add_argument(
+    "-d", "--device", type=int_or_str,
+    help="input device (numeric ID or substring)")
+parser.add_argument(
+    "-r", "--samplerate", type=int, help="sampling rate")
+parser.add_argument(
+    "-m", "--model", type=str, help="language model; e.g. en-us, fr, nl; default is en-us")
+args = parser.parse_args(remaining)
+
+try:
+    if args.samplerate is None:
+        device_info = sd.query_devices(args.device, "input")
+        # soundfile expects an int, sounddevice provides a float:
+        args.samplerate = int(device_info["default_samplerate"])
+        
+    if args.model is None:
+        model = Model(lang="en-us")
+    else:
+        model = Model(lang=args.model)
+
+    if args.filename:
+        dump_fn = open(args.filename, "wb")
+    else:
+        dump_fn = None
+
+    with sd.RawInputStream(samplerate=args.samplerate, blocksize = 8000, device=args.device,
+            dtype="int16", channels=1, callback=callback):
+        print("#" * 80)
+        print("Press Ctrl+C to stop the recording")
+        print("#" * 80)
+
+        rec = KaldiRecognizer(model, args.samplerate)
+        while True:
+            data = q.get()
+            if rec.AcceptWaveform(data):
+                print(rec.Result())
+            else:
+                print(rec.PartialResult())
+            if dump_fn is not None:
+                dump_fn.write(data)
+
+except KeyboardInterrupt:
+    print("\nDone")
+    parser.exit(0)
+except Exception as e:
+    parser.exit(type(e).__name__ + ": " + str(e))
@@ -0,0 +1,27 @@
+#!/usr/bin/env python3
+
+import wave
+import sys
+
+from vosk import Model, KaldiRecognizer, SetLogLevel
+
+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(lang="en-us")
+rec = KaldiRecognizer(model, wf.getframerate())
+rec.SetMaxAlternatives(10)
+rec.SetNLSML(True)
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(rec.Result())
+
+print(rec.FinalResult())
@@ -0,0 +1,33 @@
+#!/usr/bin/env python3
+
+import wave
+import sys
+import json
+
+from vosk import Model, KaldiRecognizer, SetLogLevel
+
+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(lang="en-us")
+rec = KaldiRecognizer(model, wf.getframerate())
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(rec.Result())
+        sys.exit(1)
+
+    else:
+        jres = json.loads(rec.PartialResult())
+        print(jres)
+
+        if jres["partial"] == "one zero zero zero":
+            print("We can reset recognizer here and start over")
+            rec.Reset()
@@ -0,0 +1,35 @@
+#!/usr/bin/env python3
+
+import wave
+import sys
+
+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(lang="en-us")
+
+# You can also init model by name or with a folder path
+# model = Model(model_name="vosk-model-en-us-0.21")
+# model = Model("models/en")
+
+rec = KaldiRecognizer(model, wf.getframerate())
+rec.SetWords(True)
+rec.SetPartialWords(True)
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(rec.Result())
+    else:
+        print(rec.PartialResult())
+
+print(rec.FinalResult())
@@ -0,0 +1,78 @@
+#!/usr/bin/env python3
+
+import os
+import sys
+import wave
+import json
+import numpy as np
+
+from vosk import Model, KaldiRecognizer, SpkModel
+
+SPK_MODEL_PATH = "model-spk"
+
+if not os.path.exists(SPK_MODEL_PATH):
+    print("Please download the speaker model from "
+        "https://alphacephei.com/vosk/models and unpack as {SPK_MODEL_PATH} "
+        "in the current folder.")
+    sys.exit(1)
+
+wf = wave.open(sys.argv[1], "rb")
+if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
+    print("Audio file must be WAV format mono PCM.")
+    sys.exit(1)
+
+# Large vocabulary free form recognition
+model = Model(lang="en-us")
+spk_model = SpkModel(SPK_MODEL_PATH)
+#rec = KaldiRecognizer(model, wf.getframerate(), spk_model)
+rec = KaldiRecognizer(model, wf.getframerate())
+rec.SetSpkModel(spk_model)
+
+# We compare speakers with cosine distance.
+# We can keep one or several fingerprints for the speaker in a database
+# to distingusih among users.
+spk_sig = [-1.110417,0.09703002,1.35658,0.7798632,-0.305457,-0.339204,0.6186931,
+        -0.4521213,0.3982236,-0.004530723,0.7651616,0.6500852,-0.6664245,0.1361499,
+        0.1358056,-0.2887807,-0.1280468,-0.8208137,-1.620276,-0.4628615,0.7870904,
+        -0.105754,0.9739769,-0.3258137,-0.7322628,-0.6212429,-0.5531687,-0.7796484,
+        0.7035915,1.056094,-0.4941756,-0.6521456,-0.2238328,-0.003737517,0.2165709,
+        1.200186,-0.7737719,0.492015,1.16058,0.6135428,-0.7183084,0.3153541,0.3458071,
+        -1.418189,-0.9624157,0.4168292,-1.627305,0.2742135,-0.6166027,0.1962581,
+        -0.6406527,0.4372789,-0.4296024,0.4898657,-0.9531326,-0.2945702,0.7879696,
+        -1.517101,-0.9344181,-0.5049928,-0.005040941,-0.4637912,0.8223695,-1.079849,
+        0.8871287,-0.9732434,-0.5548235,1.879138,-1.452064,-0.1975368,1.55047,
+        0.5941782,-0.52897,1.368219,0.6782904,1.202505,-0.9256122,-0.9718158,
+        -0.9570228,-0.5563112,-1.19049,-1.167985,2.606804,-2.261825,0.01340385,
+        0.2526799,-1.125458,-1.575991,-0.363153,0.3270262,1.485984,-1.769565,
+        1.541829,0.7293826,0.1743717,-0.4759418,1.523451,-2.487134,-1.824067,
+        -0.626367,0.7448186,-1.425648,0.3524166,-0.9903384,3.339342,0.4563958,
+        -0.2876643,1.521635,0.9508078,-0.1398541,0.3867955,-0.7550205,0.6568405,
+        0.09419366,-1.583935,1.306094,-0.3501927,0.1794427,-0.3768163,0.9683866,
+        -0.2442541,-1.696921,-1.8056,-0.6803037,-1.842043,0.3069353,0.9070363,-0.486526]
+
+def cosine_dist(x, y):
+    nx = np.array(x)
+    ny = np.array(y)
+    return 1 - np.dot(nx, ny) / np.linalg.norm(nx) / np.linalg.norm(ny)
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        res = json.loads(rec.Result())
+        print("Text:", res["text"])
+        if "spk" in res:
+            print("X-vector:", res["spk"])
+            print("Speaker distance:", cosine_dist(spk_sig, res["spk"]),
+                "based on", res["spk_frames"], "frames")
+
+print("Note that second distance is not very reliable because utterance is too short. "
+    "Utterances longer than 4 seconds give better xvector")
+
+res = json.loads(rec.FinalResult())
+print("Text:", res["text"])
+if "spk" in res:
+    print("X-vector:", res["spk"])
+    print("Speaker distance:", cosine_dist(spk_sig, res["spk"]),
+        "based on", res["spk_frames"], "frames")
@@ -0,0 +1,21 @@
+#!/usr/bin/env python3
+
+import subprocess
+import sys
+
+from vosk import Model, KaldiRecognizer, SetLogLevel
+
+SAMPLE_RATE = 16000
+
+SetLogLevel(-1)
+
+model = Model(lang="en-us")
+rec = KaldiRecognizer(model, SAMPLE_RATE)
+rec.SetWords(True)
+
+with subprocess.Popen(["ffmpeg", "-loglevel", "quiet", "-i",
+                            sys.argv[1],
+                            "-ar", str(SAMPLE_RATE) , "-ac", "1", "-f", "s16le", "-"],
+                            stdout=subprocess.PIPE).stdout as stream:
+
+    print(rec.SrtResult(stream))
@@ -0,0 +1,28 @@
+#!/usr/bin/env python3
+
+import sys
+import json
+
+from vosk import Model, KaldiRecognizer
+
+model = Model(lang="en-us")
+
+# Large vocabulary free form recognition
+rec = KaldiRecognizer(model, 16000)
+
+# You can also specify the possible word list
+#rec = KaldiRecognizer(model, 16000, "zero oh one two three four five six seven eight nine")
+
+with open(sys.argv[1], "rb") as wf:
+    wf.read(44) # skip header
+
+    while True:
+        data = wf.read(4000)
+        if len(data) == 0:
+            break
+        if rec.AcceptWaveform(data):
+            res = json.loads(rec.Result())
+            print(res["text"])
+
+    res = json.loads(rec.FinalResult())
+    print(res["text"])
@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+
+import sys
+import subprocess
+import json
+import textwrap
+
+from webvtt import WebVTT, Caption
+from vosk import Model, KaldiRecognizer, SetLogLevel
+
+SAMPLE_RATE = 16000
+WORDS_PER_LINE = 7
+
+SetLogLevel(-1)
+
+model = Model(lang="en-us")
+rec = KaldiRecognizer(model, SAMPLE_RATE)
+rec.SetWords(True)
+
+
+def timestring(seconds):
+    minutes = seconds / 60
+    seconds = seconds % 60
+    hours = int(minutes / 60)
+    minutes = int(minutes % 60)
+    return "%i:%02i:%06.3f" % (hours, minutes, seconds)
+
+
+def transcribe():
+    command = ["ffmpeg", "-nostdin", "-loglevel", "quiet", "-i", sys.argv[1],
+               "-ar", str(SAMPLE_RATE), "-ac", "1", "-f", "s16le", "-"]
+    with subprocess.Popen(command, stdout=subprocess.PIPE) as process:
+
+        results = []
+        while True:
+            data = process.stdout.read(4000)
+            if len(data) == 0:
+                break
+            if rec.AcceptWaveform(data):
+                results.append(rec.Result())
+        results.append(rec.FinalResult())
+
+        vtt = WebVTT()
+        for _, res in enumerate(results):
+            words = json.loads(res).get("result")
+            if not words:
+                continue
+
+            start = timestring(words[0]["start"])
+            end = timestring(words[-1]["end"])
+            content = " ".join([w["word"] for w in words])
+
+            caption = Caption(start, end, textwrap.fill(content))
+            vtt.captions.append(caption)
+
+        # save or return webvtt
+        if len(sys.argv) > 2:
+            vtt.save(sys.argv[2])
+        else:
+            print(vtt.content)
+
+
+if __name__ == "__main__":
+    if not 1 < len(sys.argv) < 4:
+        print("Usage: {} audiofile [output file]".format(sys.argv[0]))
+        sys.exit(1)
+    transcribe()
@@ -0,0 +1,31 @@
+#!/usr/bin/env python3
+
+import wave
+import sys
+
+from vosk import Model, KaldiRecognizer
+
+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(lang="en-us")
+
+# You can also specify the possible word or phrase list as JSON list,
+# the order doesn't have to be strict
+rec = KaldiRecognizer(model,
+    wf.getframerate(),
+    '["oh one two three", "four five six", "seven eight nine zero", "[unk]"]')
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(rec.Result())
+        rec.SetGrammar('["one zero one two three oh", "four five six", "seven eight nine zero", "[unk]"]')
+    else:
+        print(rec.PartialResult())
+
+print(rec.FinalResult())
@@ -0,0 +1,75 @@
+import os
+import setuptools
+import shutil
+import glob
+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())
+
+# Copy precompmilled libraries
+for lib in glob.glob(os.path.join(vosk_source, "src/lib*.*")):
+    print ("Adding library", lib)
+    shutil.copy(lib, "vosk")
+
+# Create OS-dependent, but Python-independent wheels.
+try:
+    from wheel.bdist_wheel import bdist_wheel
+except ImportError:
+    cmdclass = {}
+else:
+    class bdist_wheel_tag_name(bdist_wheel):
+        def get_tag(self):
+            abi = 'none'
+            if system == 'Darwin':
+                oses = 'macosx_10_6_universal2'
+            elif system == 'Windows' and architecture == '32bit':
+                oses = 'win32'
+            elif system == 'Windows' and architecture == '64bit':
+                oses = 'win_amd64'
+            elif system == 'Linux' and machine == 'aarch64' and architecture == '64bit':
+                oses = 'manylinux2014_aarch64'
+            elif system == 'Linux':
+                oses = 'linux_' + machine
+            else:
+                raise TypeError("Unknown build environment")
+            return 'py3', abi, oses
+    cmdclass = {'bdist_wheel': bdist_wheel_tag_name}
+
+with open("README.md", "rb") as fh:
+    long_description = fh.read().decode("utf-8")
+
+setuptools.setup(
+    name="vosk",
+    version="0.3.75",
+    author="Alpha Cephei Inc",
+    author_email="contact@alphacephei.com",
+    description="Offline open source speech recognition API based on Kaldi and Vosk",
+    long_description=long_description,
+    long_description_content_type="text/markdown",
+    url="https://github.com/alphacep/vosk-api",
+    packages=setuptools.find_packages(),
+    package_data = {'vosk': ['*.so', '*.dll', '*.dyld']},
+    entry_points = {
+        'console_scripts': ['vosk-transcriber=vosk.transcriber.cli:main'],
+    },
+    include_package_data=True,
+    classifiers=[
+        'Programming Language :: Python :: 3',
+        'License :: OSI Approved :: Apache Software License',
+        'Operating System :: Microsoft :: Windows',
+        'Operating System :: POSIX :: Linux',
+        'Operating System :: MacOS :: MacOS X',
+        'Topic :: Software Development :: Libraries :: Python Modules'
+    ],
+    cmdclass=cmdclass,
+    python_requires='>=3',
+    zip_safe=False, # Since we load so file from the filesystem, we can not run from zip file
+    setup_requires=['cffi>=1.0', 'requests', 'tqdm', 'srt', 'websockets'],
+    install_requires=['cffi>=1.0', 'requests', 'tqdm', 'srt', 'websockets'],
+    cffi_modules=['vosk_builder.py:ffibuilder'],
+)
@@ -0,0 +1,34 @@
+#!/usr/bin/env python3
+
+import wave
+import json
+import sys
+
+from multiprocessing.dummy import Pool
+from vosk import Model, KaldiRecognizer
+
+model = Model("en-us")
+
+def recognize(line):
+    uid, fn = line.split()
+    wf = wave.open(fn, "rb")
+    rec = KaldiRecognizer(model, wf.getframerate())
+
+    text = ""
+    while True:
+        data = wf.readframes(1000)
+        if len(data) == 0:
+            break
+        if rec.AcceptWaveform(data):
+            jres = json.loads(rec.Result())
+            text = text + " " + jres["text"]
+    jres = json.loads(rec.FinalResult())
+    text = text + " " + jres["text"]
+    return uid + text
+
+def main():
+    p = Pool(8)
+    texts = p.map(recognize, open(sys.argv[1], encoding="utf-8").readlines())
+    print ("\n".join(texts))
+
+main()
@@ -0,0 +1,303 @@
+import os
+import sys
+import srt
+import datetime
+import json
+import enum
+
+import requests
+from urllib.request import urlretrieve
+from zipfile import ZipFile
+from re import match
+from pathlib import Path
+from .vosk_cffi import ffi as _ffi
+from tqdm import tqdm
+
+# Remote location of the models and local folders
+MODEL_PRE_URL = "https://alphacephei.com/vosk/models/"
+MODEL_LIST_URL = MODEL_PRE_URL + "model-list.json"
+MODEL_DIRS = [os.getenv("VOSK_MODEL_PATH"), Path("/usr/share/vosk"),
+        Path.home() / "AppData/Local/vosk", Path.home() / ".cache/vosk"]
+
+def open_dll():
+    dlldir = os.path.abspath(os.path.dirname(__file__))
+    if sys.platform == "win32":
+        # We want to load dependencies too
+        os.environ["PATH"] = dlldir + os.pathsep + os.environ["PATH"]
+        if hasattr(os, "add_dll_directory"):
+            os.add_dll_directory(dlldir)
+        return _ffi.dlopen(os.path.join(dlldir, "libvosk.dll"))
+    elif sys.platform == "linux":
+        return _ffi.dlopen(os.path.join(dlldir, "libvosk.so"))
+    elif sys.platform == "darwin":
+        return _ffi.dlopen(os.path.join(dlldir, "libvosk.dyld"))
+    else:
+        raise TypeError("Unsupported platform")
+
+_c = open_dll()
+
+def list_models():
+    response = requests.get(MODEL_LIST_URL, timeout=10)
+    for model in response.json():
+        print(model["name"])
+
+def list_languages():
+    response = requests.get(MODEL_LIST_URL, timeout=10)
+    languages = {m["lang"] for m in response.json()}
+    for lang in languages:
+        print (lang)
+
+class Model:
+    def __init__(self, model_path=None, model_name=None, lang=None):
+        if model_path is not None:
+            self._handle = _c.vosk_model_new(model_path.encode("utf-8"))
+        else:
+            model_path = self.get_model_path(model_name, lang)
+            self._handle = _c.vosk_model_new(model_path.encode("utf-8"))
+        if self._handle == _ffi.NULL:
+            raise Exception("Failed to create a model")
+
+    def __del__(self):
+        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"))
+
+    def get_model_path(self, model_name, lang):
+        if model_name is None:
+            model_path = self.get_model_by_lang(lang)
+        else:
+            model_path = self.get_model_by_name(model_name)
+        return str(model_path)
+
+    def get_model_by_name(self, model_name):
+        for directory in MODEL_DIRS:
+            if directory is None or not Path(directory).exists():
+                continue
+            model_file_list = os.listdir(directory)
+            model_file = [model for model in model_file_list if model == model_name]
+            if model_file != []:
+                return Path(directory, model_file[0])
+        response = requests.get(MODEL_LIST_URL, timeout=10)
+        result_model = [model["name"] for model in response.json() if model["name"] == model_name]
+        if result_model == []:
+            print("model name %s does not exist" % (model_name))
+            sys.exit(1)
+        else:
+            self.download_model(Path(directory, result_model[0]))
+            return Path(directory, result_model[0])
+
+    def get_model_by_lang(self, lang):
+        for directory in MODEL_DIRS:
+            if directory is None or not Path(directory).exists():
+                continue
+            model_file_list = os.listdir(directory)
+            model_file = [model for model in model_file_list if
+                    match(r"vosk-model(-small)?-{}".format(lang), model)]
+            if model_file != []:
+                return Path(directory, model_file[0])
+        response = requests.get(MODEL_LIST_URL, timeout=10)
+        result_model = [model["name"] for model in response.json() if
+                model["lang"] == lang and model["type"] == "small" and model["obsolete"] == "false"]
+        if result_model == []:
+            print("lang %s does not exist" % (lang))
+            sys.exit(1)
+        else:
+            self.download_model(Path(directory, result_model[0]))
+            return Path(directory, result_model[0])
+
+    def download_model(self, model_name):
+        if not (model_name.parent).exists():
+            (model_name.parent).mkdir(parents=True)
+        with tqdm(unit="B", unit_scale=True, unit_divisor=1024, miniters=1,
+                desc=(MODEL_PRE_URL + str(model_name.name) + ".zip").rsplit("/",
+                    maxsplit=1)[-1]) as t:
+            reporthook = self.download_progress_hook(t)
+            urlretrieve(MODEL_PRE_URL + str(model_name.name) + ".zip",
+                    str(model_name) + ".zip", reporthook=reporthook, data=None)
+            t.total = t.n
+            with ZipFile(str(model_name) + ".zip", "r") as model_ref:
+                model_ref.extractall(model_name.parent)
+            Path(str(model_name) + ".zip").unlink()
+
+    def download_progress_hook(self, t):
+        last_b = [0]
+        def update_to(b=1, bsize=1, tsize=None):
+            if tsize not in (None, -1):
+                t.total = tsize
+            displayed = t.update((b - last_b[0]) * bsize)
+            last_b[0] = b
+            return displayed
+        return update_to
+
+class SpkModel:
+
+    def __init__(self, model_path):
+        self._handle = _c.vosk_spk_model_new(model_path.encode("utf-8"))
+
+        if self._handle == _ffi.NULL:
+            raise Exception("Failed to create a speaker model")
+
+    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):
+        if len(args) == 2:
+            self._handle = _c.vosk_recognizer_new(args[0]._handle, args[1])
+        elif len(args) == 3 and isinstance(args[2], SpkModel):
+            self._handle = _c.vosk_recognizer_new_spk(args[0]._handle,
+                    args[1], args[2]._handle)
+        elif len(args) == 3 and isinstance(args[2], str):
+            self._handle = _c.vosk_recognizer_new_grm(args[0]._handle,
+                    args[1], args[2].encode("utf-8"))
+        else:
+            raise TypeError("Unknown arguments")
+
+        if self._handle == _ffi.NULL:
+            raise Exception("Failed to create a recognizer")
+
+    def __del__(self):
+        _c.vosk_recognizer_free(self._handle)
+
+    def SetMaxAlternatives(self, max_alternatives):
+        _c.vosk_recognizer_set_max_alternatives(self._handle, max_alternatives)
+
+    def SetWords(self, enable_words):
+        _c.vosk_recognizer_set_words(self._handle, 1 if enable_words else 0)
+
+    def SetPartialWords(self, enable_partial_words):
+        _c.vosk_recognizer_set_partial_words(self._handle, 1 if enable_partial_words else 0)
+
+    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)
+
+    def SetGrammar(self, grammar):
+        _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
+
+    def Result(self):
+        return _ffi.string(_c.vosk_recognizer_result(self._handle)).decode("utf-8")
+
+    def PartialResult(self):
+        return _ffi.string(_c.vosk_recognizer_partial_result(self._handle)).decode("utf-8")
+
+    def FinalResult(self):
+        return _ffi.string(_c.vosk_recognizer_final_result(self._handle)).decode("utf-8")
+
+    def Reset(self):
+        return _c.vosk_recognizer_reset(self._handle)
+
+    def SrtResult(self, stream, words_per_line = 7):
+        results = []
+
+        while True:
+            data = stream.read(4000)
+            if len(data) == 0:
+                break
+            if self.AcceptWaveform(data):
+                results.append(self.Result())
+        results.append(self.FinalResult())
+
+        subs = []
+        for res in results:
+            jres = json.loads(res)
+            if not "result" in jres:
+                continue
+            words = jres["result"]
+            for j in range(0, len(words), words_per_line):
+                line = words[j : j + words_per_line]
+                s = srt.Subtitle(index=len(subs),
+                        content=" ".join([l["word"] for l in line]),
+                        start=datetime.timedelta(seconds=line[0]["start"]),
+                        end=datetime.timedelta(seconds=line[-1]["end"]))
+                subs.append(s)
+
+        return srt.compose(subs)
+
+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)
+
+class Processor:
+
+    def __init__(self, *args):
+        self._handle = _c.vosk_text_processor_new(args[0].encode('utf-8'), args[1].encode('utf-8'))
+
+        if self._handle == _ffi.NULL:
+            raise Exception("Failed to create processor")
+
+    def __del__(self):
+        _c.vosk_text_processor_free(self._handle)
+
+    def process(self, text):
+        return _ffi.string(_c.vosk_text_processor_itn(self._handle, text.encode('utf-8'))).decode('utf-8')
@@ -0,0 +1,89 @@
+#!/usr/bin/env python3
+
+import argparse
+import logging
+import sys
+import os
+
+from pathlib import Path
+from vosk import list_models, list_languages
+from vosk.transcriber.transcriber import Transcriber
+
+parser = argparse.ArgumentParser(
+        description = "Transcribe audio file and save result in selected format")
+parser.add_argument(
+        "--model", "-m", type=str,
+        help="model path")
+parser.add_argument(
+        "--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")
+parser.add_argument(
+        "--list-languages", default=False, action="store_true",
+        help="list available languages")
+parser.add_argument(
+        "--model-name", "-n", type=str,
+        help="select model by name")
+parser.add_argument(
+        "--lang", "-l", default="en-us", type=str,
+        help="select model by language")
+parser.add_argument(
+        "--input", "-i", type=str,
+        help="audiofile")
+parser.add_argument(
+        "--output", "-o", default="", type=str,
+        help="optional output filename path")
+parser.add_argument(
+        "--output-type", "-t", default="txt", type=str,
+        help="optional arg output data type")
+parser.add_argument(
+        "--tasks", "-ts", default=10, type=int,
+        help="number of parallel recognition tasks")
+parser.add_argument(
+        "--log-level", default="INFO",
+        help="logging level")
+
+def main():
+
+    args = parser.parse_args()
+    log_level = args.log_level.upper()
+    logging.getLogger().setLevel(log_level)
+
+    if args.list_models is True:
+        list_models()
+        return
+
+    if args.list_languages is True:
+        list_languages()
+        return
+
+    if not args.input:
+        logging.info("Please specify input file or directory")
+        sys.exit(1)
+
+    if not Path(args.input).exists():
+        logging.info("File/folder {args.input} does not exist, "\
+            "please specify an existing file/directory")
+        sys.exit(1)
+
+    transcriber = Transcriber(args)
+
+    if Path(args.input).is_dir():
+        task_list = [(Path(args.input, fn),
+            Path(args.output,
+            Path(fn).stem).with_suffix("." + args.output_type)) for fn in os.listdir(args.input)]
+    elif Path(args.input).is_file():
+        if args.output == "":
+            task_list = [(Path(args.input), args.output)]
+        else:
+            task_list = [(Path(args.input), Path(args.output))]
+    else:
+        logging.info("Wrong arguments")
+        sys.exit(1)
+
+    transcriber.process_task_list(task_list)
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,201 @@
+import json
+import logging
+import asyncio
+import websockets
+import srt
+import datetime
+import shlex
+import subprocess
+
+from vosk import KaldiRecognizer, Model
+from queue import Queue
+from timeit import default_timer as timer
+from multiprocessing.dummy import Pool
+
+CHUNK_SIZE = 4000
+SAMPLE_RATE = 16000.0
+
+class Transcriber:
+
+    def __init__(self, args):
+        self.model = Model(model_path=args.model, model_name=args.model_name, lang=args.lang)
+        self.args = args
+        self.queue = Queue()
+
+    def recognize_stream(self, rec, stream):
+        tot_samples = 0
+        result = []
+
+        while True:
+            data = stream.stdout.read(CHUNK_SIZE)
+
+            if len(data) == 0:
+                break
+
+            tot_samples += len(data)
+            if rec.AcceptWaveform(data):
+                jres = json.loads(rec.Result())
+                logging.info(jres)
+                result.append(jres)
+            else:
+                jres = json.loads(rec.PartialResult())
+                if jres["partial"] != "":
+                    logging.info(jres)
+
+        jres = json.loads(rec.FinalResult())
+        result.append(jres)
+
+        return result, tot_samples
+
+    async def recognize_stream_server(self, proc):
+        async with websockets.connect(self.args.server) as websocket:
+            tot_samples = 0
+            result = []
+
+            await websocket.send('{ "config" : { "sample_rate" : %f } }' % (SAMPLE_RATE))
+            while True:
+                data = await proc.stdout.read(CHUNK_SIZE)
+                tot_samples += len(data)
+                if len(data) == 0:
+                    break
+                await websocket.send(data)
+                jres = json.loads(await websocket.recv())
+                logging.info(jres)
+                if not "partial" in jres:
+                    result.append(jres)
+            await websocket.send('{"eof" : 1}')
+            jres = json.loads(await websocket.recv())
+            logging.info(jres)
+            result.append(jres)
+
+            return result, tot_samples
+
+
+    def format_result(self, result, words_per_line=7):
+        processed_result = ""
+        if self.args.output_type == "srt":
+            subs = []
+
+            for _, res in enumerate(result):
+                if not "result" in res:
+                    continue
+                words = res["result"]
+
+                for j in range(0, len(words), words_per_line):
+                    line = words[j : j + words_per_line]
+                    s = srt.Subtitle(index=len(subs),
+                            content = " ".join([l["word"] for l in line]),
+                            start=datetime.timedelta(seconds=line[0]["start"]),
+                            end=datetime.timedelta(seconds=line[-1]["end"]))
+                    subs.append(s)
+            processed_result = srt.compose(subs)
+
+        elif self.args.output_type == "txt":
+            for part in result:
+                if part["text"] != "":
+                    processed_result += part["text"] + "\n"
+
+        elif self.args.output_type == "json":
+            monologues = {"schemaVersion":"2.0", "monologues":[], "text":[]}
+            for part in result:
+                if part["text"] != "":
+                    monologues["text"] += [part["text"]]
+            for _, res in enumerate(result):
+                if not "result" in res:
+                    continue
+                monologue = { "speaker": {"id": "unknown", "name": None}, "start": 0, "end": 0, "terms": []}
+                monologue["start"] = res["result"][0]["start"]
+                monologue["end"] = res["result"][-1]["end"]
+                monologue["terms"] = [{"confidence": t["conf"], "start": t["start"], "end": t["end"], "text": t["word"], "type": "WORD" } for t in res["result"]]
+                monologues["monologues"].append(monologue)
+            processed_result = json.dumps(monologues)
+        return processed_result
+
+    def resample_ffmpeg(self, infile):
+        cmd = shlex.split("ffmpeg -nostdin -loglevel quiet "
+                "-i \'{}\' -ar {} -ac 1 -f s16le -".format(str(infile), SAMPLE_RATE))
+        stream = subprocess.Popen(cmd, stdout=subprocess.PIPE)
+        return stream
+
+    async def resample_ffmpeg_async(self, infile):
+        cmd = "ffmpeg -nostdin -loglevel quiet "\
+        "-i \'{}\' -ar {} -ac 1 -f s16le -".format(str(infile), SAMPLE_RATE)
+        return await asyncio.create_subprocess_shell(cmd, stdout=subprocess.PIPE)
+
+    async def server_worker(self):
+        while True:
+            try:
+                input_file, output_file = self.queue.get_nowait()
+            except Exception:
+                break
+
+            logging.info("Recognizing {}".format(input_file))
+            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 != "":
+                logging.info("File {} processing complete".format(output_file))
+                with open(output_file, "w", encoding="utf-8") as fh:
+                    fh.write(processed_result)
+            else:
+                print(processed_result)
+
+            elapsed = timer() - start_time
+            logging.info("Execution time: {:.3f} sec; "\
+                    "xRT {:.3f}".format(elapsed, float(elapsed) * (2 * SAMPLE_RATE) / tot_samples))
+            self.queue.task_done()
+
+    def pool_worker(self, inputdata):
+        logging.info("Recognizing {}".format(inputdata[0]))
+        start_time = timer()
+
+        try:
+            stream = self.resample_ffmpeg(inputdata[0])
+        except FileNotFoundError as e:
+            print(e, "Missing FFMPEG, please install and try again")
+            return
+        except Exception as e:
+            logging.info(e)
+            return
+
+        rec = KaldiRecognizer(self.model, SAMPLE_RATE)
+        rec.SetWords(True)
+        result, tot_samples = self.recognize_stream(rec, stream)
+        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:
+                fh.write(processed_result)
+        else:
+            print(processed_result)
+
+        elapsed = timer() - start_time
+        logging.info("Execution time: {:.3f} sec; "\
+                "xRT {:.3f}".format(elapsed, float(elapsed) * (2 * SAMPLE_RATE) / tot_samples))
+
+    async def process_task_list_server(self, task_list):
+        for x in task_list:
+            self.queue.put(x)
+        workers = [asyncio.create_task(self.server_worker()) for i in range(self.args.tasks)]
+        await asyncio.gather(*workers)
+
+    def process_task_list_pool(self, task_list):
+        with Pool() as pool:
+            pool.map(self.pool_worker, task_list)
+
+    def process_task_list(self, task_list):
+        if self.args.server is None:
+            self.process_task_list_pool(task_list)
+        else:
+            asyncio.run(self.process_task_list_server(task_list))
@@ -0,0 +1,14 @@
+#!/usr/bin/env python3
+
+import os
+from cffi import FFI
+
+vosk_root=os.environ.get("VOSK_SOURCE", "..")
+cpp_command = "cpp " + vosk_root + "/src/vosk_api.h"
+
+ffibuilder = FFI()
+ffibuilder.set_source("vosk.vosk_cffi", None)
+ffibuilder.cdef(os.popen(cpp_command).read())
+
+if __name__ == '__main__':
+    ffibuilder.compile(verbose=True)