---
tags:
- espnet
- audio
- speech-recognition
language: en
datasets:
- google/fleurs
license: cc-by-4.0
---

## ESPnet2 ASR model

### `espnet/wanchichen_fleurs_english_asr_wav2vec_frontend`
This model was trained by William Chen using the fleurs recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
```bash
cd espnet
pip install -e .
cd egs2/fleurs/asr1
./run.sh
```
<!-- Generated by scripts/utils/show_asr_result.sh -->
# RESULTS
## Environments
- date: `Sun Aug 14 14:52:04 EDT 2022`
- python version: `3.8.6 (default, Dec 17 2020, 16:57:01)  [GCC 10.2.0]`
- espnet version: `espnet 202205`
- pytorch version: `pytorch 1.8.1+cu102`
- Git hash: `45e8cb9173a072f85ee7a7ccbcae06af7c5c484a`
  - Commit date: `Wed Jun 1 14:21:14 2022 +0900`

## asr_train_asr_wav2vec_960h_transformer_raw_en_us_bpe300_sp
### WER

|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|
|decode_asr_asr_model_valid.acc.best/test_all|647|14344|67.1|29.4|3.5|4.6|37.5|99.8|
|decode_asr_asr_model_valid.acc.best/dev_all|388|7935|66.8|29.7|3.6|5.0|38.2| 99.0|

### CER

|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|
|decode_asr_asr_model_valid.acc.best/test_all|647|83954|88.6|5.4|6.0|4.8|16.2|99.8|
|decode_asr_asr_model_valid.acc.best/dev_all|388|47051|88.1|6.0|5.9|4.4|16.3|99.0|

### TER

|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|---|---|---|---|---|---|---|---|---|
|decode_asr_asr_model_valid.acc.best/test_all|647|39965|7.7|14.9|7.4|4.1|26.4|99.8|
|decode_asr_asr_model_valid.acc.best/dev_all|388|22491|77.3|15.2|7.5|3.8|26.5|99.0|