Package: python3-pyopen-wakeword
Source: python-pyopen-wakeword
Version: 1.1.0+dfsg-2
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Home Assistant Team <team+homeassistant@tracker.debian.org>
Installed-Size: 5951
Depends: libtensorflow-lite2.14.1, python3-numpy, python3:any
Section: python
Priority: optional
Homepage: https://github.com/rhasspy/pyopen-wakeword
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.
