Source: python-pyopen-wakeword
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-setuptools,
Build-Depends-Indep:
 libtensorflow-lite2.14.1 <!nocheck>,
 python3-numpy <!nocheck>,
 python3-pytest <!nocheck>,
Standards-Version: 4.7.4
Homepage: https://github.com/rhasspy/pyopen-wakeword
Vcs-Browser: https://salsa.debian.org/homeassistant-team/deps/python-pyopen-wakeword
Vcs-Git: https://salsa.debian.org/homeassistant-team/deps/python-pyopen-wakeword.git
Testsuite: autopkgtest-pkg-pybuild

Package: python3-pyopen-wakeword
Architecture: all
Depends:
 libtensorflow-lite2.14.1,
 ${misc:Depends},
 ${python3:Depends},
Description: wake word detection for 16 kHz mono audio
 This library analyses 16-bit mono audio sampled at 16 kHz and reports wake-
 word match probabilities from openWakeWord model files.
 .
 It provides streaming processing for small audio chunks, with a separate
 feature extraction step and model evaluation step. It can use bundled wake-
 word models, such as the Okay Nabu model, or a selected model file in the
 supported format.
 .
 The command-line interface can read WAVE files or raw PCM audio from standard
 input, making it usable with local audio capture tools as well as prerecorded
 audio.