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README.md
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## ESPnet2 ASR model
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### `espnet/
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This model was trained by
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### Demo: How to use in ESPnet2
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/dev|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/test|1155|27500|93.9|2.7|3.4|0.7|6.8|61.1|
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### CER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/dev|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/test|1155|145066|96.6|0.6|2.8|0.6|4.1|61.1|
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### TER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/dev|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/test|1155|54206|95.5|1.7|2.7|0.6|5.1|61.1|
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## ESPnet2 ASR model
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### `espnet/tedlium3`
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This model was trained by Dongwei Jiang using tedlium3 recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/dev|507|17783|93.2|3.2|3.5|1.0|7.8|68.6|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/test|1155|27500|93.9|2.7|3.4|0.7|6.8|61.1|
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### CER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/dev|507|95429|96.2|0.7|3.1|0.9|4.7|68.6|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/test|1155|145066|96.6|0.6|2.8|0.6|4.1|61.1|
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### TER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/dev|507|36002|95.0|2.2|2.8|0.9|5.8|68.6|
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|decode_lm_lm_train_lm_en_bpe500_valid.loss.ave_asr_model_valid.acc.ave/test|1155|54206|95.5|1.7|2.7|0.6|5.1|61.1|
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