| | --- |
| | license: cc-by-4.0 |
| | language: |
| | - en |
| | pipeline_tag: automatic-speech-recognition |
| | library_name: nemo |
| | datasets: |
| | - librispeech_asr |
| | - fisher_corpus |
| | - mozilla-foundation/common_voice_8_0 |
| | - National-Singapore-Corpus-Part-1 |
| | - vctk |
| | - voxpopuli |
| | - europarl |
| | - multilingual_librispeech |
| | thumbnail: null |
| | tags: |
| | - automatic-speech-recognition |
| | - speech |
| | - audio |
| | - Transducer |
| | - TDT |
| | - FastConformer |
| | - Conformer |
| | - pytorch |
| | - NeMo |
| | - hf-asr-leaderboard |
| | widget: |
| | - example_title: Librispeech sample 1 |
| | src: https://huggingface.co/proxy/cdn-media.huggingface.co/speech_samples/sample1.flac |
| | - example_title: Librispeech sample 2 |
| | src: https://huggingface.co/proxy/cdn-media.huggingface.co/speech_samples/sample2.flac |
| | model-index: |
| | - name: parakeet-tdt-0.6b-v2 |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: AMI (Meetings test) |
| | type: edinburghcstr/ami |
| | config: ihm |
| | split: test |
| | args: |
| | language: en |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 11.16 |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Earnings-22 |
| | type: revdotcom/earnings22 |
| | split: test |
| | args: |
| | language: en |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 11.15 |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: GigaSpeech |
| | type: speechcolab/gigaspeech |
| | split: test |
| | args: |
| | language: en |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 9.74 |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: LibriSpeech (clean) |
| | type: librispeech_asr |
| | config: other |
| | split: test |
| | args: |
| | language: en |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 1.69 |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: LibriSpeech (other) |
| | type: librispeech_asr |
| | config: other |
| | split: test |
| | args: |
| | language: en |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 3.19 |
| | - task: |
| | type: Automatic Speech Recognition |
| | name: automatic-speech-recognition |
| | dataset: |
| | name: SPGI Speech |
| | type: kensho/spgispeech |
| | config: test |
| | split: test |
| | args: |
| | language: en |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 2.17 |
| | - task: |
| | type: Automatic Speech Recognition |
| | name: automatic-speech-recognition |
| | dataset: |
| | name: tedlium-v3 |
| | type: LIUM/tedlium |
| | config: release1 |
| | split: test |
| | args: |
| | language: en |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 3.38 |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Vox Populi |
| | type: facebook/voxpopuli |
| | config: en |
| | split: test |
| | args: |
| | language: en |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 5.95 |
| | metrics: |
| | - wer |
| | --- |
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