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