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tags:
- espnet
- audio
- automatic-speech-recognition
language: code
datasets:
- proyecto_nahuatl
license: cc-by-4.0
---
## ESPnet2 ASR model
### `espnet/proyecto_nahuatl`
This model was trained using proyecto_nahuatl recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
```bash
cd espnet/egs2/proyecto_nahuatl
# add data path to prefix in run.sh
./run.sh
```
<!-- Generated by scripts/utils/show_asr_result.sh -->
# RESULTS
## Environments
- date: `Tue May 6 10:18:30 EDT 2025`
- python version: `3.9.21 (main, Dec 11 2024, 16:24:11) [GCC 11.2.0]`
- espnet version: `espnet 202412`
- pytorch version: `pytorch 2.2.0+cu121`
- Git hash: `90ea0823e6d0aa2ea7b322a8b513cbb0b8200e91`
- Commit date: `Mon May 5 20:04:01 2025 +0000`
## exp/asr_train_asr_s3prl_raw_en_bpe150_sp/decode_asr_ctc_lm_lm_train_lm_en_bpe150_valid.loss.ave_asr_model_valid.loss.ave
### WER
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|
|test/Hidalgo|324|3760|9.9|57.4|32.7|8.0|98.1|100.0|
|test/Tequila|870|9337|14.0|62.5|23.4|8.8|94.8|100.0|
|test/Zacatlan|1836|16318|21.9|56.6|21.5|5.1|83.2|99.6|
### CER
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|
|test/Hidalgo|324|23998|62.4|13.0|24.6|15.3|52.9|100.0|
|test/Tequila|870|65418|70.4|11.6|18.0|14.2|43.8|100.0|
|test/Zacatlan|1836|108155|79.9|7.6|12.5|9.4|29.5|99.6|
### TER
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|
|test/Hidalgo|324|13202|48.2|27.2|24.6|15.9|67.7|100.0|
|test/Tequila|870|37224|55.5|25.3|19.3|13.8|58.3|100.0|
|test/Zacatlan|1836|61871|66.2|19.4|14.4|8.4|42.2|99.6|
|