ESPnet2: Meld Recipe
Demo: How to use in ESPnet2
cd espnet
pip install -e .
cd egs2/meld/asr1/
./run.sh
Environments
- date:
Thu Nov 10 09:07:40 EST 2022
- python version:
3.8.6 (default, Dec 17 2020, 16:57:01) [GCC 10.2.0]
- espnet version:
espnet 202207
- pytorch version:
pytorch 1.8.1+cu102
- Git hash:
a7bd6522b32ec6472c13f6a2289dcdff4a846c12
- Commit date:
Wed Sep 14 08:34:27 2022 -0400
asr_train_asr_hubert_transformer_adam_specaug_meld_raw_en_bpe850
- ASR config: conf/tuning/train_asr_hubert_transformer_adam_specaug_meld.yaml
- token_type: bpe
- keep_nbest_models: 5
dataset |
Snt |
Emotion Classification (%) |
decoder_asr_asr_model_valid.acc.ave_5best/test |
2608 |
39.22 |
decoder_asr_asr_model_valid.acc.ave_5best/valid |
1104 |
42.64 |
ASR results
WER
dataset |
Snt |
Wrd |
Corr |
Sub |
Del |
Ins |
Err |
S.Err |
decoder_asr_asr_model_valid.acc.ave_5best/test |
2608 |
24809 |
55.5 |
28.0 |
16.5 |
8.4 |
52.9 |
96.5 |
decoder_asr_asr_model_valid.acc.ave_5best/valid |
1104 |
10171 |
55.3 |
29.4 |
15.3 |
7.0 |
51.7 |
96.2 |
CER
dataset |
Snt |
Wrd |
Corr |
Sub |
Del |
Ins |
Err |
S.Err |
decoder_asr_asr_model_valid.acc.ave_5best/test |
2608 |
120780 |
71.1 |
10.7 |
18.2 |
10.6 |
39.5 |
96.5 |
decoder_asr_asr_model_valid.acc.ave_5best/valid |
1104 |
49323 |
71.3 |
11.1 |
17.6 |
9.4 |
38.1 |
96.2 |
TER
dataset |
Snt |
Wrd |
Corr |
Sub |
Del |
Ins |
Err |
S.Err |
decoder_asr_asr_model_valid.acc.ave_5best/test |
2608 |
35287 |
57.6 |
21.8 |
20.5 |
7.8 |
50.2 |
96.5 |
decoder_asr_asr_model_valid.acc.ave_5best/valid |
1104 |
14430 |
57.4 |
23.2 |
19.4 |
6.1 |
48.6 |
96.2 |