HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

pyannote-speaker-diarization-31

collinbarnwell/pyannote-speaker-diarization-31

kind
original
quant
bf16 (16-bit)
family
misc
modality
automatic-speech-recognition
root model
—
provider
collinbarnwell
license
mit
language
—
context
—
library
—
vRAM (GB)
—
size on disk
—
downloads
240
likes
5
created
—
last modified
2024-02-09T17:09:03+00:00 (2024)
huggingface
https://huggingface.co/collinbarnwell/pyannote-speaker-diarization-31
tags
pyannote-audiopyannotepyannote-audio-pipelineaudiovoicespeechspeakerspeaker-diarizationspeaker-change-detectionvoice-activity-detectionoverlapped-speech-detectionautomatic-speech-recognitionarxiv:2111.14448arxiv:2012.01477license:mitendpoints_compatibleregion:us

Benchmark scores (2)

benchmarkcategoryscorecontextconfevidence
WER AMIspeech-asr22.4[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 AMIspeech-asr18.8[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

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Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.