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.