Speaker Diarization On Ami
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Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||||
|---|---|---|---|---|
| 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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