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Model card draft

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  license: cc-by-nc-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: cc-by-nc-4.0
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+ language:
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+ - en
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+ - de
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+ - es
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+ - fr
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+ library_name: nemo
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+ datasets:
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+ - librispeech_asr
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+ - fisher_corpus
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+ - Switchboard-1
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+ - WSJ-0
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+ - WSJ-1
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+ - National-Singapore-Corpus-Part-1
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+ - National-Singapore-Corpus-Part-6
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+ - vctk
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+ - voxpopuli
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+ - europarl
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+ - multilingual_librispeech
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+ - mozilla-foundation/common_voice_8_0
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+ - MLCommons/peoples_speech
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+ thumbnail: null
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+ tags:
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+ - automatic-speech-recognition
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+ - speech
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+ - audio
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+ - Transducer
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+ - FastConformer
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+ - Conformer
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+ - pytorch
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+ - NeMo
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+ - hf-asr-leaderboard
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+ widget:
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+ - example_title: Librispeech sample 1
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+ src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
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+ - example_title: Librispeech sample 2
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+ src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
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+ model-index:
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+ - name: parakeet_rnnt_1.1b
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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: AMI (Meetings test)
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+ type: edinburghcstr/ami
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+ config: ihm
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 17.10
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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: Earnings-22
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+ type: revdotcom/earnings22
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 14.11
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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: GigaSpeech
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+ type: speechcolab/gigaspeech
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+ split: test
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+ args:
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+ language: en
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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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+ - 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: LibriSpeech (clean)
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+ type: librispeech_asr
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+ config: other
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 1.46
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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: LibriSpeech (other)
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+ type: librispeech_asr
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+ config: other
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 2.47
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+ - task:
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+ type: Automatic Speech Recognition
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+ name: automatic-speech-recognition
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+ dataset:
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+ name: SPGI Speech
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+ type: kensho/spgispeech
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+ config: test
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 3.11
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+ - task:
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+ type: Automatic Speech Recognition
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+ name: automatic-speech-recognition
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+ dataset:
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+ name: tedlium-v3
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+ type: LIUM/tedlium
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+ config: release1
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 3.92
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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: Vox Populi
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+ type: facebook/voxpopuli
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+ config: en
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 5.39
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+ - task:
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+ type: Automatic Speech Recognition
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+ name: automatic-speech-recognition
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+ dataset:
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+ name: Mozilla Common Voice 9.0
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+ type: mozilla-foundation/common_voice_9_0
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+ config: en
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 5.79
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+
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+ metrics:
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+ - wer
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+ pipeline_tag: automatic-speech-recognition
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