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
cd espnet
pip install -e .
cd egs2/fleurs/asr1
./run.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 |
