ESPnet2 ASR model
espnet/wanchichen_fleurs_multilingual_asr_hubert_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 21 15:18:30 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_hubert_raw_all_raw_all_bpe6500_sp
WER
| dataset |
Snt |
Wrd |
Corr |
Sub |
Del |
Ins |
Err |
S.Err |
| decode_asr_asr_model_valid.acc.best/test_all |
77809 |
1669969 |
54.2 |
38.1 |
7.8 |
4.0 |
49.9 |
99.7 |
| decode_asr_asr_model_valid.acc.best/dev_all |
31622 |
610500 |
53.4 |
38.7 |
7.9 |
3.5 |
50.1 |
99.5 |
CER
| dataset |
Snt |
Wrd |
Corr |
Sub |
Del |
Ins |
Err |
S.Err |
| decode_asr_asr_model_valid.acc.best/test_all |
77809 |
10876592 |
85.1 |
7.4 |
7.5 |
3.2 |
18.0 |
99.7 |
| decode_asr_asr_model_valid.acc.best/dev_all |
31622 |
3988181 |
84.7 |
7.7 |
7.7 |
2.8 |
18.1 |
99.5 |
TER
| dataset |
Snt |
Wrd |
Corr |
Sub |
Del |
Ins |
Err |
S.Err |
| decode_asr_asr_model_valid.acc.best/test_all |
77809 |
9622352 |
82.8 |
9.2 |
8.0 |
3.4 |
20.6 |
99.7 |
| decode_asr_asr_model_valid.acc.best/dev_all |
31622 |
3547834 |
82.4 |
9.4 |
8.2 |
3.0 |
20.6 |
99.5 |
