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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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+
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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.