|
--- |
|
tags: |
|
- espnet |
|
- audio |
|
- speech-recognition |
|
language: en |
|
datasets: |
|
- google/fleurs |
|
license: cc-by-4.0 |
|
--- |
|
|
|
## ESPnet2 ASR model |
|
|
|
### `espnet/wanchichen_fleurs_multilingual_asr_hubert_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| |
