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custom-wake-word

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lgpearson1771 / openwakeword-trainer

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Train custom wake word models with openWakeWord. A granular 13-step pipeline with compatibility patches for torchaudio 2.10+, Piper TTS, and speechbrain. Generates tiny ONNX models (~200 KB) for real-time keyword detection — like building your own "Hey Siri" trigger. WSL2/Linux + CUDA required.

python text-to-speech deep-learning speech-recognition speech-to-text keyword-spotting voice-assistant wake-word-detection onnx on-device training-pipeline edge-ai audio-augmentation wsl2 speechbrain openwakeword piper-tts wake-word-training custom-wake-word
  • Updated Feb 13, 2026
  • Python

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