speaker-diarization-3.1

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pyannote/speaker-diarization-3.1

kind: original
quant: bf16 (16-bit)
family: misc
modality: automatic-speech-recognition
root model: —
provider: pyannote
license: mit
language: —
context: —
library: —
vRAM (GB): —
size on disk: —
downloads: 8,834,968
likes: 2,918
created: —
last modified: 2024-05-10T19:43:23+00:00 (2024)
huggingface: https://huggingface.co/pyannote/speaker-diarization-3.1
tags: pyannote-audiopyannotepyannote-audio-pipelineaudiovoicespeechspeakerspeaker-diarizationspeaker-change-detectionvoice-activity-detectionoverlapped-speech-detectionautomatic-speech-recognitionarxiv:2111.14448arxiv:2012.01477license:mitendpoints_compatibleregion:us

benchmark	category	score	context	conf	evidence
WER AMI	speech-asr	22.4	[AMI (_array1, channel 1,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words)_](https://github.com/BUTSpeechFIT/AMI-diarization-setup)	medium	`\| [AMI (_array1, channel 1,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words)_](https://github.com/BUTSpeechFIT/AMI-diarization-setup) \| 22.4 \| 3.8 \| 11.2 \| 7.5 \| [RTTM](htt`
WER AMI	speech-asr	18.8	[AMI (_headset mix,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words_)](https://github.com/BUTSpeechFIT/AMI-diarization-setup)	medium	`\| [AMI (_headset mix,_](https://groups.inf.ed.ac.uk/ami/corpus/) [_only_words_)](https://github.com/BUTSpeechFIT/AMI-diarization-setup) \| 18.8 \| 3.6 \| 9.5 \| 5.7 \| [RTTM](https://hu`

none scraped.