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speechbrain

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A Streamlit web app for speaker diarization and identification in audio files. Upload or record audio, transcribe conversations, and automatically segment and label speakers using reference samples. This app makes it easy to analyze multi-speaker audio, export transcripts, and identify "who spoke when" for meetings, interviews, and more.

  • Updated Jul 22, 2025
  • Python

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.

  • Updated Feb 13, 2026
  • Python

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