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86 lines
3.3 KiB
Plaintext
86 lines
3.3 KiB
Plaintext
Metadata-Version: 2.1
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Name: webrtcvad
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Version: 2.0.10
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Summary: Python interface to the Google WebRTC Voice Activity Detector (VAD)
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Home-page: https://github.com/wiseman/py-webrtcvad
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Author: John Wiseman
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Author-email: jjwiseman@gmail.com
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License: MIT
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Description: .. image:: https://travis-ci.org/wiseman/py-webrtcvad.svg?branch=master
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:target: https://travis-ci.org/wiseman/py-webrtcvad
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py-webrtcvad
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============
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This is a python interface to the WebRTC Voice Activity Detector
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(VAD). It is compatible with Python 2 and Python 3.
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A `VAD <https://en.wikipedia.org/wiki/Voice_activity_detection>`_
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classifies a piece of audio data as being voiced or unvoiced. It can
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be useful for telephony and speech recognition.
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The VAD that Google developed for the `WebRTC <https://webrtc.org/>`_
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project is reportedly one of the best available, being fast, modern
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and free.
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How to use it
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-------------
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0. Install the webrtcvad module::
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pip install webrtcvad
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1. Create a ``Vad`` object::
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import webrtcvad
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vad = webrtcvad.Vad()
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2. Optionally, set its aggressiveness mode, which is an integer
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between 0 and 3. 0 is the least aggressive about filtering out
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non-speech, 3 is the most aggressive. (You can also set the mode
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when you create the VAD, e.g. ``vad = webrtcvad.Vad(3)``)::
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vad.set_mode(1)
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3. Give it a short segment ("frame") of audio. The WebRTC VAD only
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accepts 16-bit mono PCM audio, sampled at 8000, 16000, or 32000 Hz.
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A frame must be either 10, 20, or 30 ms in duration::
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# Run the VAD on 10 ms of silence. The result should be False.
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sample_rate = 16000
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frame_duration = 10 # ms
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frame = b'\x00\x00' * (sample_rate * frame_duration / 1000)
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print 'Contains speech: %s' % (vad.is_speech(frame, sample_rate)
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See `example.py
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<https://github.com/wiseman/py-webrtcvad/blob/master/example.py>`_ for
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a more detailed example that will process a .wav file, find the voiced
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segments, and write each one as a separate .wav.
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How to run unit tests
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---------------------
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To run unit tests::
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pip install -e ".[dev]"
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python setup.py test
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Keywords: speechrecognition asr voiceactivitydetection vad webrtc
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Platform: UNKNOWN
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Classifier: Development Status :: 4 - Beta
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Classifier: Intended Audience :: Developers
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Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Classifier: Topic :: Scientific/Engineering :: Information Analysis
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Classifier: Topic :: Scientific/Engineering :: Human Machine Interfaces
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.2
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Classifier: Programming Language :: Python :: 3.3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Provides-Extra: dev
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