webrtcvad

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py-webrtcvad

This is a python interface to the WebRTC Voice Activity Detector (VAD). It is compatible with Python 2 and Python 3.

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

1. Install the webrtcvad module::

   pip install webrtcvad

2. Create a Vad object::

   import webrtcvad vad = webrtcvad.Vad()

3. 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)

4. Give it a short segment ("frame") of audio. The WebRTC VAD only accepts 16-bit mono PCM audio, sampled at 8000, 16000, or 32000 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' * (sample_rate * frame_duration / 1000) print 'Contains speech: %s' % (vad.is_speech(frame, sample_rate)

See example.py <https://github.com/wiseman/py-webrtcvad/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