
## 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|
{"language": "en", "license": "cc-by-4.0", "tags": ["espnet", "audio", "speech-recognition"], "datasets": ["google/fleurs"]}
espnet audio speech-recognition en dataset:google/fleurs license:cc-by-4.0 region:us
TAGS
#espnet #audio #speech-recognition #en #dataset-google/fleurs #license-cc-by-4.0 #region-us 

ESPnet2 ASR model
-----------------


### 'espnet/wanchichen\_fleurs\_english\_asr\_wav2vec\_frontend'


This model was trained by William Chen using the fleurs recipe in espnet.


### Demo: How to use in ESPnet2


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



### CER



### TER




### 'espnet/wanchichen\_fleurs\_english\_asr\_wav2vec\_frontend'


This model was trained by William Chen using the fleurs recipe in espnet. ### Demo: How to use in ESPnet2


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 ### CER ### TER
TAGS
#espnet #audio #speech-recognition #en #dataset-google/fleurs #license-cc-by-4.0 #region-us 
 ### 'espnet/wanchichen\_fleurs\_english\_asr\_wav2vec\_frontend'


This model was trained by William Chen using the fleurs recipe in espnet. ### Demo: How to use in ESPnet2


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 ### CER ### TER
passage: TAGS
#espnet #audio #speech-recognition #en #dataset-google/fleurs #license-cc-by-4.0 #region-us 
### 'espnet/wanchichen\_fleurs\_english\_asr\_wav2vec\_frontend'


This model was trained by William Chen using the fleurs recipe in espnet.### Demo: How to use in ESPnet2


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### CER### TER