- Feature info: using fbank feature, with cmvn, no speed perturb, dither
- Training info: lr 0.001, batch size 32, 8 gpus, acc_grad 1, 240 epochs, dither 1.0
- Decoding info: ctc_weight 0.1, reverse_weight 0.4, average_num 30
- Git hash: 5a1342312668e7a5abb83aed1e53256819cebf95
decoding mode/chunk size | full | 16 |
---|---|---|
ctc greedy search | 6.18 | 6.79 |
ctc prefix beam search | 6.20 | 6.80 |
attention rescoring | 5.39 | 5.78 |
LM + attention rescoring | 5.35 | 5.73 |
- Feature info: using fbank feature, with cmvn, no speed perturb
- Training info: lr 0.002, batch size 22, 8 gpus, acc_grad 1, 240 epochs, dither 0.0
- Decoding info: ctc_weight 0.1, reverse_weight 0.5, average_num 30
- Git hash: 5a1342312668e7a5abb83aed1e53256819cebf95
decoding mode/chunk size | full | 16 |
---|---|---|
ctc greedy search | 7.35 | 8.23 |
ctc prefix beam search | 7.36 | 8.23 |
attention rescoring | 6.09 | 6.70 |
LM + attention rescoring | 6.07 | 6.55 |
- Feature info: using fbank feature, with cmvn, no speed perturb.
- Training info: lr 0.002, batch size 16, 8 gpus, acc_grad 1, 120 epochs, dither 1.0
- Decoding info: ctc_weight 0.5, average_num 20
- Git hash: 14d38085a8d966cf9e9577ffafc51d578dce954f
decoding mode/chunk size | full | 16 | 8 | 4 |
---|---|---|---|---|
attention decoder | 6.23 | 6.42 | 6.58 | 7.20 |
ctc greedy search | 6.98 | 7.75 | 8.21 | 9.91 |
ctc prefix beam search | 7.02 | 7.76 | 8.21 | 9.93 |
attention rescoring | 6.08 | 6.46 | 6.72 | 7.79 |
LM + attention rescoring | 5.87 | 6.37 | 6.47 | 6.61 |
- Feature info: using fbank feature, with cmvn, no speed perturb.
- Training info: lr 0.002, batch size 22, 8 gpus, acc_grad 1, 180 epochs, dither 0.0
- Decoding info: ctc_weight 0.5, average_num 30
- Git hash: 14d38085a8d966cf9e9577ffafc51d578dce954f
decoding mode/chunk size | full | 16 | 8 | 4 |
---|---|---|---|---|
attention decoder | 6.71 | 7.08 | 7.17 | 7.40 |
ctc greedy search | 7.84 | 8.68 | 8.98 | 9.46 |
ctc prefix beam search | 7.86 | 8.68 | 8.98 | 9.45 |
attention rescoring | 6.71 | 7.31 | 7.51 | 7.85 |
LM + attention rescoring | 6.35 | 7.02 | 7.24 | 7.52 |