pyannote/segmentation
🧠 AI Modelpyannote
Pyannote voice activity detection model for speech segmentation and speaker turns.
The pyannote/segmentation model is a neural network designed for voice activity detection (VAD) and speaker segmentation. Built on PyTorch and part of the pyannote-audio toolkit, it processes raw audio waveforms to output segment boundaries and speaker identity. The architecture may involve SincNet or similar convolutional layers, trained on large multi-speaker datasets. This gated model requires acceptance of a license before use. Key features include high accuracy in overlapping speech, real-time inference capability, and seamless integration into diarization pipelines. It has been downloaded over 2.6 million times and received 678 likes on Hugging Face.
💡Highlights
- ├─2.6M+ downloads on Hugging Face
- ├─State-of-the-art VAD for speech
- └─Part of pyannote-audio toolkit
🎯For
- ├─Audio researchers
- ├─Speech recognition engineers
- └─Voice application developers