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--- |
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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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- cer |
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model-index: |
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- name: wav2vec2-xls-r-300m finetuned on Japanese Hiragana with no word boundaries |
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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 CER |
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type: cer |
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value: 9.34 |
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--- |
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# Wav2Vec2-XLS-R-300M-Japanese-Hiragana |
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Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on Japanese Hiragana characters using JSUT, JVS, Common Voice, and in-house dataset. |
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The sentence outputs do not contain word boundaries. Audio inputs should be sampled at 16kHz. |
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## Test Results |
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**CER:** 9.34% |
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## Training |
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Trained on JSUT, a subset of JVS, train+valid set of Common Voice Japanese, and in-house Japanese dataset. Tested on test set of Common Voice Japanese. |
