What is the collar and overlap setting for computing diarization benchmarks #1798
ivangtorre
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collar=0.0 skip_overlap=False |
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For reproducibility,
What are the parameters of collar and skip_overlap used to compute the diarization benchmark table?
Are those values obtained by estimating the number of speakers?
pyannote.metrics.diarization.DiarizationErrorRate(collar=¿?, skip_overlap=¿?)
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