Package: python3-pymicro-wakeword
Source: python-pymicro-wakeword
Version: 2.4.1+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: 273
Depends: libtensorflow-lite2.14.1, python3-numpy, python3-pymicro-features, python3:any
Section: python
Priority: optional
Homepage: https://github.com/OHF-Voice/pymicro-wakeword
Description: wake word detection with microWakeWord models
 This library processes 16-bit mono audio at 16 kHz in small chunks, builds the
 feature frames expected by microWakeWord, and evaluates wake-word models to
 report detections or detection probabilities.
 .
 It can use bundled wake-word model files and associated metadata, including
 the built-in Okay Nabu model. Audio may be supplied by calling code as
 streaming frames, read from WAVE files, or provided on standard input from
 recording tools.
 .
 The command-line interface can run a selected model over one or more WAVE
 files or over a live raw audio stream. The library reports when the configured
 wake word is detected, and can also expose the probability value used for
 threshold-based detection.
