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--- |
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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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metrics: |
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- wer |
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pipeline_tag: automatic-speech-recognition |
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--- |
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