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README.md
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pipeline_tag: automatic-speech-recognition
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metrics:
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- wer
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model-index:
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---
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# Kotoba-Whisper (v1.0)
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pipeline_tag: automatic-speech-recognition
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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: kotoba-tech/kotoba-whisper-v1.0
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results:
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- task:
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type: automatic-speech-recognition
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dataset:
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name: CommonVoice_8.0 (Japanese)
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type: japanese-asr/ja_asr.common_voice_8_0
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metrics:
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- name: WER
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type: WER
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value: 59.27
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- name: CER
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type: CER
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value: 9.44
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- task:
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type: automatic-speech-recognition
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dataset:
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name: ReazonSpeech (Test)
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type: japanese-asr/ja_asr.reazonspeech_test
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metrics:
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- name: WER
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type: WER
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value: 56.62
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- name: CER
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type: CER
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value: 12.6
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- task:
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type: automatic-speech-recognition
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dataset:
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name: JSUT Basic5000
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type: japanese-asr/ja_asr.jsut_basic5000
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metrics:
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- name: WER
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type: WER
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value: 64.36
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- name: CER
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type: CER
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value: 8.48
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datasets:
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- japanese-asr/whisper_transcriptions.reazonspeech.large
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- japanese-asr/whisper_transcriptions.reazonspeech.large.wer_10.0
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- japanese-asr/whisper_transcriptions.reazonspeech.large.wer_10.0.vectorized
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---
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# Kotoba-Whisper (v1.0)
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