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Speaker Diarization On Ami
Metrics
DER(%)
FA
Miss
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||||
|---|---|---|---|---|---|
| pyannote (MFCC) | 6.3 | 3.5 | 2.7 | pyannote.audio: neural building blocks for speaker diarization | |
| pyannote (waveform) | 6.0 | 3.6 | 2.4 | pyannote.audio: neural building blocks for speaker diarization |
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