Name | energy-vad JSON |
Version |
1.0.0
JSON |
| download |
home_page | None |
Summary | Intents for Home Assistant |
upload_time | 2024-07-18 19:54:41 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.7.0 |
license | MIT |
keywords |
home
assistant
intent
recognition
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# 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
``` sh
pip install energy-vad
```
## Example
``` python
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()
```
Raw data
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