Source: python-pymicro-features
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-setuptools,
Build-Depends-Arch:
 python3-pytest <!nocheck>,
 python3-syrupy <!nocheck>,
Standards-Version: 4.7.4
Homepage: https://github.com/rhasspy/pymicro-features
Vcs-Browser: https://salsa.debian.org/homeassistant-team/deps/python-pymicro-features
Vcs-Git: https://salsa.debian.org/homeassistant-team/deps/python-pymicro-features.git
Testsuite: autopkgtest-pkg-pybuild

Package: python3-pymicro-features
Architecture: any
Depends:
 ${misc:Depends},
 ${python3:Depends},
 ${shlibs:Depends},
Description: speech feature extraction for microWakeWord and microVAD
 This library exposes the microfrontend audio processing used to turn short
 blocks of 16-bit mono PCM audio into numeric feature frames. It applies
 windowing, Fourier transforms, filterbank processing, noise reduction, gain
 control, and logarithmic scaling to produce compact values for small wake word
 and voice activity detection pipelines.
 .
 The generated feature frames are intended to be consumed by microWakeWord and
 microVAD. Input is supplied as raw audio sample bytes by the caller, and
 processed frames are returned directly to the caller.