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py-webrtcvad-wheels
===================
This is a python interface to the WebRTC Voice Activity Detector (VAD).
It is forked from
`wiseman/py-webrtcvad <https://github.com/wiseman/py-webrtcvad>`_ to
provide updated releases with binary wheels.
A `VAD <https://en.wikipedia.org/wiki/Voice_activity_detection>`_
classifies a piece of audio data as being voiced or unvoiced. It can
be useful for telephony and speech recognition.
The VAD that Google developed for the `WebRTC <https://webrtc.org/>`_
project is reportedly one of the best available, being fast, modern
and free.
How to use it
-------------
0. Install the webrtcvad module::
pip install webrtcvad-wheels
1. Create a ``Vad`` object::
import webrtcvad
vad = webrtcvad.Vad()
2. Optionally, set its aggressiveness mode, which is an integer
between 0 and 3. 0 is the least aggressive about filtering out
non-speech, 3 is the most aggressive. (You can also set the mode
when you create the VAD, e.g. ``vad = webrtcvad.Vad(3)``)::
vad.set_mode(1)
3. Give it a short segment ("frame") of audio. The WebRTC VAD only
accepts 16-bit mono PCM audio, sampled at 8000, 16000, 32000 or 48000 Hz.
A frame must be either 10, 20, or 30 ms in duration::
# Run the VAD on 10 ms of silence. The result should be False.
sample_rate = 16000
frame_duration = 10 # ms
frame = b'\x00\x00' * int(sample_rate * frame_duration / 1000)
print 'Contains speech: %s' % (vad.is_speech(frame, sample_rate)
See `example.py
<https://github.com/daanzu/py-webrtcvad-wheels/blob/master/example.py>`_ for
a more detailed example that will process a .wav file, find the voiced
segments, and write each one as a separate .wav.
How to run unit tests
---------------------
To run unit tests::
pip install -e ".[dev]"
python setup.py test
History
-------
2.0.13
* Add tests for memory leaks.
* Fix memory leak in constructing `Vad` objects.
2.0.12
* Add Python 3.12 & 3.13 builds.
* Fix `pkg_resources` usage for Python 3.12+.
2.0.11.post1
* Force build of new wheels.
2.0.11
* Fix out-of-bounds memory read in WebRtcVad_FindMinimum.
* Add Python 3.10 & 3.11 builds.
* Add PPC support & builds.
* Implement CI/CD with GitHub Actions instead.
2.0.10.post2
* Revert updating to the latest webrtcvad upstream version, as it breaks build.
* Tweak CI/CD configuration.
* Add Python 3.9 build.
2.0.10.post1
* Merge various changes from upstream.
* Implement CI/CD with Travis CI.
FORK
2.0.10
* Fixed memory leak. Thank you, `bond005 <https://github.com/bond005>`_!
2.0.9
* Improved example code. Added WebRTC license.
2.0.8
* Fixed Windows compilation errors. Thank you, `xiongyihui <https://github.com/xiongyihui>`_!
Raw data
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"description": ".. image:: https://img.shields.io/pypi/v/webrtcvad-wheels.svg\n :target: https://pypi.python.org/pypi/webrtcvad-wheels/\n.. image:: https://img.shields.io/pypi/pyversions/webrtcvad-wheels.svg\n :target: https://pypi.python.org/pypi/webrtcvad-wheels/\n.. image:: https://img.shields.io/pypi/wheel/webrtcvad-wheels.svg\n :target: https://pypi.python.org/pypi/webrtcvad-wheels/\n.. image:: https://img.shields.io/pypi/dm/webrtcvad-wheels.svg?logo=python\n :target: https://pypi.python.org/pypi/webrtcvad-wheels/\n.. image:: https://github.com/daanzu/py-webrtcvad-wheels/actions/workflows/build.yml/badge.svg\n :target: https://github.com/daanzu/py-webrtcvad-wheels/actions/workflows/build.yml\n.. image:: https://img.shields.io/badge/donate-PayPal-green.svg\n :target: https://paypal.me/daanzu\n.. image:: https://img.shields.io/badge/donate-GitHub-pink.svg\n :target: https://github.com/sponsors/daanzu\n\npy-webrtcvad-wheels\n===================\n\nThis is a python interface to the WebRTC Voice Activity Detector (VAD).\nIt is forked from\n`wiseman/py-webrtcvad <https://github.com/wiseman/py-webrtcvad>`_ to\nprovide updated releases with binary wheels.\n\nA `VAD <https://en.wikipedia.org/wiki/Voice_activity_detection>`_\nclassifies a piece of audio data as being voiced or unvoiced. It can\nbe useful for telephony and speech recognition.\n\nThe VAD that Google developed for the `WebRTC <https://webrtc.org/>`_\nproject is reportedly one of the best available, being fast, modern\nand free.\n\nHow to use it\n-------------\n\n0. Install the webrtcvad module::\n\n pip install webrtcvad-wheels\n\n1. Create a ``Vad`` object::\n\n import webrtcvad\n vad = webrtcvad.Vad()\n\n2. Optionally, set its aggressiveness mode, which is an integer\n between 0 and 3. 0 is the least aggressive about filtering out\n non-speech, 3 is the most aggressive. (You can also set the mode\n when you create the VAD, e.g. ``vad = webrtcvad.Vad(3)``)::\n\n vad.set_mode(1)\n\n3. Give it a short segment (\"frame\") of audio. The WebRTC VAD only\n accepts 16-bit mono PCM audio, sampled at 8000, 16000, 32000 or 48000 Hz.\n A frame must be either 10, 20, or 30 ms in duration::\n\n # Run the VAD on 10 ms of silence. The result should be False.\n sample_rate = 16000\n frame_duration = 10 # ms\n frame = b'\\x00\\x00' * int(sample_rate * frame_duration / 1000)\n print 'Contains speech: %s' % (vad.is_speech(frame, sample_rate)\n\n\nSee `example.py\n<https://github.com/daanzu/py-webrtcvad-wheels/blob/master/example.py>`_ for\na more detailed example that will process a .wav file, find the voiced\nsegments, and write each one as a separate .wav.\n\n\nHow to run unit tests\n---------------------\n\nTo run unit tests::\n\n pip install -e \".[dev]\"\n python setup.py test\n\n\nHistory\n-------\n\n2.0.13\n\n* Add tests for memory leaks.\n* Fix memory leak in constructing `Vad` objects.\n\n2.0.12\n\n* Add Python 3.12 & 3.13 builds.\n* Fix `pkg_resources` usage for Python 3.12+.\n\n2.0.11.post1\n\n* Force build of new wheels.\n\n2.0.11\n\n* Fix out-of-bounds memory read in WebRtcVad_FindMinimum.\n* Add Python 3.10 & 3.11 builds.\n* Add PPC support & builds.\n* Implement CI/CD with GitHub Actions instead.\n\n2.0.10.post2\n\n* Revert updating to the latest webrtcvad upstream version, as it breaks build.\n* Tweak CI/CD configuration.\n* Add Python 3.9 build.\n\n2.0.10.post1\n\n* Merge various changes from upstream.\n* Implement CI/CD with Travis CI.\n\nFORK\n\n2.0.10\n\n* Fixed memory leak. Thank you, `bond005 <https://github.com/bond005>`_!\n\n2.0.9\n\n* Improved example code. Added WebRTC license.\n\n2.0.8\n\n* Fixed Windows compilation errors. Thank you, `xiongyihui <https://github.com/xiongyihui>`_!\n",
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