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Source: pymicro-vad
Maintainer: Home Assistant Team <team+homeassistant@tracker.debian.org>
Uploaders:
Edward Betts <edward@4angle.com>,
Section: python
Build-Depends:
debhelper-compat (= 13),
dh-sequence-python3,
pybuild-plugin-pyproject,
python3-all,
python3-all-dev,
python3-pytest <!nocheck>,
python3-setuptools,
Standards-Version: 4.7.3
Homepage: https://github.com/rhasspy/pymicro-vad
Vcs-Browser: https://salsa.debian.org/homeassistant-team/deps/pymicro-vad
Vcs-Git: https://salsa.debian.org/homeassistant-team/deps/pymicro-vad.git
Testsuite: autopkgtest-pkg-pybuild
Package: python3-pymicro-vad
Architecture: any
Depends:
${misc:Depends},
${python3:Depends},
${shlibs:Depends},
Description: Voice activity detection for 16 kHz PCM audio
This library provides a voice activity detector that estimates whether speech
is present in short chunks of audio.
.
It is intended for 16-bit mono PCM sampled at 16 kHz and processes audio in 10
ms frames. For each frame it returns a speech probability score, and can also
indicate when additional audio is required before a decision can be produced.
.
The detector includes a small audio front-end that performs the signal
processing needed to derive features from raw PCM, and then applies a compact
machine-learning model to score speech activity. It is designed to be embedded
into applications that need consistent, frame-by-frame speech detection from
microphone or other PCM audio sources.
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