Alternative Python library for openWakeWord.
Uses a pre-compiled Tensorflow Lite library.
pip3 install pyopen-wakeword
from pyopen_wakeword import OpenWakeWord, OpenWakeWordFeatures, Model
oww = OpenWakeWord.from_builtin(Model.OKAY_NABU)
oww_features = OpenWakeWordFeatures()
# Audio must be 16-bit mono at 16Khz
while audio := get_10ms_of_audio():
assert len(audio) == 160 * 2 # 160 samples
for features in oww_features.process_streaming(audio):
for prob in oww.process_streaming(features):
if prob > 0.5:
print("Detected!")
python3 -m pyopen_wakeword --model 'okay_nabu' /path/to/*.wav
arecord -r 16000 -c 1 -f S16_LE -t raw | \
python3 -m pyopen_wakeword --model 'okay_nabu'