Pyannote-Speaker-Diarization
Open‑source speaker diarization model identifying "who spoke when" in audio recordings.
Pyannote Speaker Diarization is an open‑source speaker diarization model that identifies "who spoke when" in an audio recording. It detects per‑frame speaker activity and encodes speaker identity, enabling accurate multi‑speaker attribution in meetings, interviews, and other multi‑party conversations.
Not supported
This model is currently not supported on any Compute chipset.
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View for other chipsetsTechnical Details
Input resolution (embedding):32 x 498 x 80 (batch x frames x mel-bins)
Input resolution (segmentation):32 x 1 x 80000 (batch x channel x 5s at 16kHz)
Model checkpoint:pyannote/speaker-diarization-3.1
Number of speakers (segmentation output):7 (powerset encoding for up to 3 speakers)
Quantization:Segmentation float, Embedding W8A16 via AI Hub
Applicable Scenarios
- Meeting Transcription
- Smart Home
- Accessibility
License
Model:MIT
Tags
- foundation
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
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