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Models/pyannote (waveform)

pyannote (waveform)

Reported on 9 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Speech9 results

Speaker DiarizationonETAPE
Miss· 2019-11-04
0.7
SOTA
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255
Speaker DiarizationonAMI
FA· 2019-11-04
3.6
SOTA
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255
Speaker DiarizationonETAPE
DER(%)· 2019-11-04
4.9
best: 7.7 (Baseline)
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255
Speaker DiarizationonETAPE
FA· 2019-11-04
4.2
best: 7.5 (Baseline)
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255
Speaker DiarizationonDIHARD
DER(%)· 2019-11-04
9.9
best: 11.2 (Baseline (the best result in the literature as of Oct.2019))
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255
Speaker DiarizationonDIHARD
FA· 2019-11-04
5.7
best: 6.8 (pyannote (MFCC))
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255
Speaker DiarizationonDIHARD
Miss· 2019-11-04
4.2
best: 4.7 (Baseline (the best result in the literature as of Oct.2019))
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255
Speaker DiarizationonAMI
DER(%)· 2019-11-04
6
best: 6.3 (pyannote (MFCC))
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255
Speaker DiarizationonAMI
Miss· 2019-11-04
2.4
best: 2.7 (pyannote (MFCC))
pyannote.audio: neural building blocks for speaker diarization arXiv:1911.01255