microVAD
Self-contained voice activity detector (VAD) that uses the machine learning architecture from microWakeWord.
Installation
pip install pymicro_vad2
Usage
from pymicro_vad import MicroVad
vad = MicroVad()
threshold = 0.5
# Process 10ms chunks of 16-bit mono PCM @16Khz
while audio := get_10ms_of_audio():
assert len(audio) == 160 * 2 # 160 samples
speech_prob = vad.Process10ms(audio)
if speech_prob < 0:
print("Need more audio")
elif speech_prob > threshold:
print("Speech")
else:
print("Silence")
Building
Ensure you have python3-dev and build-essential installed.
Run script/setup to create a virtual environment, then script/build to build the extension locally.
1 maintainer
Metadata
1 maintainer
Release files for pymicro-vad2 1.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pymicro_vad2-1.0.2.tar.gz | 136.1 kB | Without provenance | Details for pymicro_vad2-1.0.2.tar.gz |
Built distributions (wheels)
Total release size: 2.6 MB
Release files / pymicro_vad2-1.0.2.tar.gz
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| Size | 136.1 kB |
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Release files / pymicro_vad2-1.0.2-cp313-cp313-win_amd64.whl
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Release files / pymicro_vad2-1.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Download URL | pymicro_vad2-1.0.2-cp312-cp312-win_amd64.whl |
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