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---
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tags:
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- espnet
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- audio
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- automatic-speech-recognition
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language: es-ES
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license: mit
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---
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# RESULTS
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## Environments
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- date: `Mon Mar 14 22:28:37 UTC 2022`
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- python version: `3.8.12 | packaged by conda-forge | (default, Jan 30 2022, 23:42:07) [GCC 9.4.0]`
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- espnet version: `espnet 0.10.7a1`
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- pytorch version: `pytorch 1.10.1`
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- Git hash: `d5322b2dc4844dce1d14268b6848607e2a3dee21`
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- Commit date: `Mon Mar 14 20:21:16 2022 +0000`
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## asr_train_asr_raw_word
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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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|inference_asr_model_valid.acc.ave_5best/test|49|4134|64.6|23.5|11.8|16.4|51.8|98.0|
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|inference_asr_model_valid.acc.ave_5best/valid|47|4178|66.8|20.2|13.0|19.2|52.5|100.0|
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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.ave_5best/test|49|8690|73.2|18.0|8.8|12.9|39.7|98.0|
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|inference_asr_model_valid.acc.ave_5best/valid|47|8751|74.3|15.7|10.0|15.6|41.3|100.0|
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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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