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README.md
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---
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language:
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library_name: nemo
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datasets:
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- librispeech_asr
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- Europarl-ASR (EN)
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- Multilingual LibriSpeech (2000 hours)
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- mozilla-foundation/common_voice_7_0
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thumbnail:
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tags:
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- automatic-speech-recognition
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- speech
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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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---
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## Model Overview
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---
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+
language:
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- en
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library_name: nemo
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datasets:
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- librispeech_asr
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- Europarl-ASR (EN)
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- Multilingual LibriSpeech (2000 hours)
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- mozilla-foundation/common_voice_7_0
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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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- 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: stt_en_conformer_ctc_large
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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: LibriSpeech (clean)
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type: librispeech_asr
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config: clean
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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: 2.2
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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: 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: 4.3
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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: Multilingual LibriSpeech
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type: facebook/multilingual_librispeech
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config: english
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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: 7.2
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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 7.0
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type: mozilla-foundation/common_voice_7_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: 8.0
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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 8.0
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type: mozilla-foundation/common_voice_8_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: 9.48
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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: Wall Street Journal 92
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type: wsj_0
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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: 2.0
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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: Wall Street Journal 93
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type: wsj_1
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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: 2.9
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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: National Singapore Corpus
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type: nsc_part_1
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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: 7.0
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---
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## Model Overview
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