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--- |
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tags: |
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- espnet |
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- audio |
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- speech-recognition |
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language: zh |
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datasets: |
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- commonvoice |
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license: cc-by-4.0 |
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--- |
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## ESPnet2 ASR model |
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### `espnet/shihlun-asr-commonvoice-zh-TW` |
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This model was trained by Shih-Lun Wu using the commonvoice recipe in [espnet](https://github.com/espnet/espnet/). |
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### Demo: How to use in ESPnet2 |
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```bash |
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cd espnet |
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pip install -e . |
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cd egs2/commonvoice/asr1 |
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./asr.sh \ |
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--stage 1 \ |
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--stop_stage 13 \ |
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--nj 32 \ |
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--inference_nj 32 \ |
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--skip_train true \ |
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--train_set "train_zh_TW" \ |
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--valid_set "dev_zh_TW" \ |
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--test_sets "dev_zh_TW test_zh_TW" \ |
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--lang "zh_TW" \ |
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--local_data_opts "--lang zh-TW" \ |
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--speed_perturb_factors "0.9 1.0 1.1" \ |
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--lm_train_text "data/train_zh_TW/text" \ |
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--token_type bpe \ |
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--nbpe 2542 \ |
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--bpemode "unigram" \ |
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--bpe_train_text "data/train_zh_TW/text" \ |
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--use_lm false \ |
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--inference_asr_model "valid.acc.best.pth" \ |
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--download_model "espnet/shihlun-asr-commonvoice-zh-TW" |
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``` |
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<!-- Generated by scripts/utils/show_asr_result.sh --> |
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## RESULTS |
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### Environments |
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- date: `Thu Sep 1 21:49:10 UTC 2022` |
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- python version: `3.9.12 (main, Jun 1 2022, 11:38:51) [GCC 7.5.0]` |
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- espnet version: `espnet 202207` |
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- pytorch version: `pytorch 1.12.1+cu102` |
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- Git hash: `13db69d3befc3c82a5ff5a11e28bf79d5030603f` |
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- Commit date: `Mon Aug 29 13:44:35 2022 +0000` |
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### asr_train_asr_conformer5_raw_zh_TW_bpe2542_sp_lr1.0 |
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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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|inference_asr_model_valid.acc.best/dev_zh_TW|2627|22200|97.7|2.1|0.2|0.0|2.4|9.5| |
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|inference_asr_model_valid.acc.best/test_zh_TW|2627|21991|98.0|1.6|0.4|0.1|2.1|7.7| |
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#### TER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
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|---|---|---|---|---|---|---|---|---| |
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|inference_asr_model_valid.acc.best/dev_zh_TW|2627|24827|98.6|1.2|0.2|0.0|1.5|4.0| |
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|inference_asr_model_valid.acc.best/test_zh_TW|2627|24618|98.8|0.9|0.4|0.1|1.3|3.4| |
