snu-nia-12
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README.md
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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.
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