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Detect spoken wake words in a recorded WAV with openWakeWord, including the non-commercial model…
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What this guide covers
For makers of voice-driven installations, kiosks or interactive stories who want to score a recorded clip for wake words. You end with a short Python check and tuning notes. English models only, based on the README and not run; the pre-trained models are non-commercial.
More about this guide
Guide ID: art_01M6VWVFG01FK2P8GDWBHT9TSF
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Guide title
Detect spoken wake words in a recorded WAV with openWakeWord, including the non-commercial model licence
Coverage
For makers of voice-driven installations, kiosks or interactive stories who want to score a recorded clip for wake words. You end with a short Python check and tuning notes. English models only, based on the README and not run; the pre-trained models are non-commercial.
Example
A script scores a WAV file against every included model; the file name is ours and the code was not run.
Useful starting points
- Scores near zero usually mean the file is not 16-bit 16 kHz PCM or the phrase is not one of the English pre-trained models.
- Too many false activations: raise the threshold above the 0.5 default or enable the voice activity detector.
- The pre-trained models carry a non-commercial licence, so check it before any commercial use.
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