speaker-diarization-3.0

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pyannote/speaker-diarization-3.0

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: 235,562
likes: 221
created: —
last modified: 2024-05-10T19:37:39+00:00 (2024)
huggingface: https://huggingface.co/pyannote/speaker-diarization-3.0
tags: pyannote-audiopyannotepyannote-audio-pipelineaudiovoicespeechspeakerspeaker-diarizationspeaker-change-detectionvoice-activity-detectionoverlapped-speech-detectionautomatic-speech-recognitionarxiv:2111.14448arxiv:2012.01477license:mitregion:us

benchmark	category	score	context	conf	evidence
WER AMI	speech-asr	22.2	[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) \| 22.2 \| 3.8 \| 11.2 \| 7.3 \| [RTTM](htt`
WER AMI	speech-asr	19.0	[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) \| 19.0 \| 3.6 \| 9.5 \| 5.9 \| [RTTM](https://hu`

none scraped.