Conformer without speed perpurb and lm
- config: conf/train_conformer_large.yaml
- beam: 10
- num of gpu: 8
- num of averaged model: 20
- ctc weight (used for attention rescoring): 0.5
test clean (chunk size = full)
| decoding mode | WER |
|---|---|
| attention rescoring | 2.85 |
test other (chunk size = full)
| decoding mode | WER |
|---|---|
| attention rescoring | 7.24 |
Conformer (causal convolution)
- config: conf/train_unified_conformer.yaml
- beam: 10
- num of gpu: 8
- ctc weight (used for attention rescoring): 0.5
- num of averaged model: 30
test clean
| decoding mode/chunk size | full | 16 |
|---|---|---|
| attention decoder | 5.17 | 5.21 |
| ctc greedy search | 3.99 | 4.74 |
| ctc prefix beam search | 3.99 | 4.74 |
| attention rescoring | 3.39 | 3.94 |
test other
| decoding mode/chunk size | full | 16 |
|---|---|---|
| attention decoder | 9.41 | 10.75 |
| ctc greedy search | 9.80 | 11.86 |
| ctc prefix beam search | 9.80 | 11.85 |
| attention rescoring | 8.64 | 10.52 |