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README.md
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 7.0
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type: mozilla-foundation/
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args: ja
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metrics:
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- name: Test WER (with LM)
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## Model description
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on my collection of Public Japanese Voice
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### Benchmark WER result:
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| | [COMMON VOICE 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0) | [COMMON VOICE 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0)
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 7.0
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type: mozilla-foundation/common_voice_7_0
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args: ja
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metrics:
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- name: Test WER (with LM)
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---
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## Model description
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on my collection of Public Japanese Voice datasets for research Common Voice 7.0, JUST (Japanese speech corpus of Saruwatari-lab., University of Tokyo), JSSS (Japanese speech corpus for summarization and simplification), CSS10 (A collection of single speaker speech datasets). You can find in preprocessing dataset in here VUMICHIEN/COMMON_VOICE_LARGE_JSUT_JSSS_CSS10.
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### Benchmark WER result:
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| | [COMMON VOICE 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0) | [COMMON VOICE 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0)
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