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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](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0), [JUST](https://sites.google.com/site/shinnosuketakamichi/publication/jsut) (Japanese speech corpus of Saruwatari-lab., University of Tokyo), [JSSS](https://sites.google.com/site/shinnosuketakamichi/research-topics/jsss_corpus) (Japanese speech corpus for summarization and simplification), [CSS10](https://paperswithcode.com/dataset/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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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](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0), [JUST](https://sites.google.com/site/shinnosuketakamichi/publication/jsut) (Japanese speech corpus of Saruwatari-lab., University of Tokyo), [JSSS](https://sites.google.com/site/shinnosuketakamichi/research-topics/jsss_corpus) (Japanese speech corpus for summarization and simplification), [CSS10](https://paperswithcode.com/dataset/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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### Total training time:
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~60 hours
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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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