Add benchmark
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README.md
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language:
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pipeline_tag: automatic-speech-recognition
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tags:
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- CTC
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- pytorch
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- speechbrain
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- Transformer
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datasets:
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- commonvoice
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metrics:
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- wer
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- cer
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---
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<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
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language:
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- fr
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thumbnail: null
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pipeline_tag: automatic-speech-recognition
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tags:
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- CTC
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- pytorch
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- speechbrain
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- Transformer
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- hf-asr-leaderboard
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license: apache-2.0
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datasets:
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- commonvoice
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metrics:
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- wer
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- cer
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model-index:
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- name: asr-wav2vec2-commonvoice-fr
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: CommonVoice 6.1 (French)
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type: mozilla-foundation/common_voice_6_1
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config: fr
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split: test
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args:
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language: fr
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metrics:
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- name: Test WER
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type: wer
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value: '9.96'
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---
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<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
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