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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-live-japanese
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## Model description
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language: ja
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datasets:
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- common_voice
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metrics:
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- wer
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tags:
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- audio
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- automatic-speech-recognition
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- speech
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- xlsr-fine-tuning-week
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license: apache-2.0
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model-index:
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- name: wav2vec2-live-japanese
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results:
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- task:
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice Japanese
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type: common_voice
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args: ja
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metrics:
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- name: Test WER
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type: wer
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value: 22.08%
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- name: Test CER
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type: cer
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value: 10.08%
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---
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# wav2vec2-live-japanese
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https://github.com/ttop32/wav2vec2-live-japanese-translator
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Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Japanese using the
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- common_voice
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- JSUT
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- CSS10
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- TEDxJP-10K
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- JVS
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## Model description
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