Speaker Diarization On Dihard 1
Metriken
DER(%)
FA
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Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||||
|---|---|---|---|---|
| Baseline (the best result in the literature as of Oct.2019) | 11.2 | 6.5 | 4.7 | pyannote.audio: neural building blocks for speaker diarization |
| pyannote (MFCC) | 10.5 | 6.8 | 3.7 | pyannote.audio: neural building blocks for speaker diarization |
| pyannote (waveform) | 9.9 | 5.7 | 4.2 | pyannote.audio: neural building blocks for speaker diarization |
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