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README.md
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@@ -26,27 +26,27 @@ model-index:
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- task:
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type: automatic-speech-recognition
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dataset:
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name:
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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.
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- name: CER
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type: CER
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value: 9.
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- task:
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type: automatic-speech-recognition
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dataset:
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name: ReazonSpeech (
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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.
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- name: CER
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type: CER
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-
value: 12.
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- task:
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type: automatic-speech-recognition
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dataset:
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@@ -55,10 +55,10 @@ model-index:
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metrics:
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- name: WER
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type: WER
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-
value: 64.
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- name: CER
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type: CER
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-
value: 8.
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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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- task:
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type: automatic-speech-recognition
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dataset:
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name: CommonVoice 8 (Japanese test set)
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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: 59.2
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- name: CER
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type: CER
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+
value: 9.4
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- task:
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type: automatic-speech-recognition
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dataset:
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name: ReazonSpeech (held out test set)
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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: 56.6
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- name: CER
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type: CER
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+
value: 12.2
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- task:
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type: automatic-speech-recognition
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dataset:
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|
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metrics:
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- name: WER
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type: WER
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+
value: 64.3
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- name: CER
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type: CER
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+
value: 8.5
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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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