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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: en |
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datasets: |
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- google/fleurs |
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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/wanchichen_fleurs_multilingual_asr_hubert_frontend` |
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This model was trained by William Chen using the fleurs 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/fleurs/asr1 |
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./run.sh |
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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: `Sun Aug 21 15:18:30 EDT 2022` |
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- python version: `3.8.6 (default, Dec 17 2020, 16:57:01) [GCC 10.2.0]` |
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- espnet version: `espnet 202205` |
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- pytorch version: `pytorch 1.8.1+cu102` |
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- Git hash: `45e8cb9173a072f85ee7a7ccbcae06af7c5c484a` |
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- Commit date: `Wed Jun 1 14:21:14 2022 +0900` |
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## asr_train_asr_hubert_raw_all_raw_all_bpe6500_sp |
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### WER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
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|---|---|---|---|---|---|---|---|---| |
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|decode_asr_asr_model_valid.acc.best/test_all|77809|1669969|54.2|38.1|7.8|4.0|49.9|99.7| |
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|decode_asr_asr_model_valid.acc.best/dev_all|31622|610500|53.4|38.7|7.9|3.5|50.1|99.5| |
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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_asr_asr_model_valid.acc.best/test_all|77809|10876592|85.1|7.4|7.5|3.2|18.0|99.7| |
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|decode_asr_asr_model_valid.acc.best/dev_all|31622|3988181|84.7|7.7|7.7|2.8|18.1|99.5| |
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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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|decode_asr_asr_model_valid.acc.best/test_all|77809|9622352|82.8|9.2|8.0|3.4|20.6|99.7| |
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|decode_asr_asr_model_valid.acc.best/dev_all|31622|3547834|82.4|9.4|8.2|3.0|20.6|99.5| |