Energy VAD
Simple energy-based voice activity detector (VAD) with no external dependencies.
Energy threshold is calibrated from initial audio, or can be set manually.
Installation
pip install energy-vad
Example
import wave
from energy_vad import EnergyVad
vad = EnergyVad()
with wave.open("test.wav", "rb") as wav_file:
assert wav_file.getframerate() == 16000
assert wav_file.getsampwidth() == 2
assert wav_file.getnchannels() == 1
chunk = wav_file.readframes(vad.samples_per_chunk)
while len(chunk) == vad.bytes_per_chunk:
result = vad.process_chunk(chunk)
if result is None:
# calibrating
pass
elif result:
# speech
print("!", end="")
else:
# silence
print(".", end="")
chunk = wav_file.readframes(vad.samples_per_chunk)
print("")
print("Energy threshold:", vad.threshold)
# Clear calibrated threshold
vad.reset_calibration()
1 maintainer
Metadata
1 maintainer
Release files for energy-vad 1.0.0
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| File | Size | Uploaded | Provenance | Actions |
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| energy_vad-1.0.0.tar.gz | 4.1 kB | Without provenance | Details for energy_vad-1.0.0.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| energy_vad-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for energy_vad-1.0.0-py3-none-any.whl |
Total release size: 8.0 kB
Release files / energy_vad-1.0.0.tar.gz
| Download URL | energy_vad-1.0.0.tar.gz |
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| Size | 4.1 kB |
| Tags | Source |
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Release files / energy_vad-1.0.0-py3-none-any.whl
| Download URL | energy_vad-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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