speaker-diarization

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pyannote/speaker-diarization

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: 379,883
likes: 1,309
created: —
last modified: 2024-05-10T19:38:20+00:00 (2024)
huggingface: https://huggingface.co/pyannote/speaker-diarization
tags: pyannote-audiopyannotepyannote-audio-pipelineaudiovoicespeechspeakerspeaker-diarizationspeaker-change-detectionvoice-activity-detectionoverlapped-speech-detectionautomatic-speech-recognitiondataset:amidataset:diharddataset:voxconversedataset:aishelldataset:reperedataset:voxcelebarxiv:2012.01477arxiv:2110.07058arxiv:2005.08072license:mitregion:us

benchmark	category	score	context	conf	evidence
WER AMI	speech-asr	27.12	[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) \| 27.12 \| 4.11 \| 17.78 \| 5.23 \| [RTTM]`
WER AMI	speech-asr	18.91	[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) \| 18.91 \| 4.48 \| 9.51 \| 4.91 \| [RTTM](https:`

none scraped.