Run `./prepare.sh` to prepare the data. Run `./xxx_train.py` (to be added) to train a model. ## Conformer-CTC Results of the pre-trained model from `` are given below ### HLG - no LM rescoring (output beam size is 8) #### 1-best decoding ``` [test-clean-no_rescore] %WER 3.15% [1656 / 52576, 127 ins, 377 del, 1152 sub ] [test-other-no_rescore] %WER 7.03% [3682 / 52343, 220 ins, 1024 del, 2438 sub ] ``` #### n-best decoding For n=100, ``` [test-clean-no_rescore-100] %WER 3.15% [1656 / 52576, 127 ins, 377 del, 1152 sub ] [test-other-no_rescore-100] %WER 7.14% [3737 / 52343, 275 ins, 1020 del, 2442 sub ] ``` For n=200, ``` [test-clean-no_rescore-200] %WER 3.16% [1660 / 52576, 125 ins, 378 del, 1157 sub ] [test-other-no_rescore-200] %WER 7.04% [3684 / 52343, 228 ins, 1012 del, 2444 sub ] ``` ### HLG - with LM rescoring #### Whole lattice rescoring ``` [test-clean-lm_scale_0.8] %WER 2.77% [1456 / 52576, 150 ins, 210 del, 1096 sub ] [test-other-lm_scale_0.8] %WER 6.23% [3262 / 52343, 246 ins, 635 del, 2381 sub ] ``` WERs of different LM scales are: ``` For test-clean, WER of different settings are: lm_scale_0.8 2.77 best for test-clean lm_scale_0.9 2.87 lm_scale_1.0 3.06 lm_scale_1.1 3.34 lm_scale_1.2 3.71 lm_scale_1.3 4.18 lm_scale_1.4 4.8 lm_scale_1.5 5.48 lm_scale_1.6 6.08 lm_scale_1.7 6.79 lm_scale_1.8 7.49 lm_scale_1.9 8.14 lm_scale_2.0 8.82 For test-other, WER of different settings are: lm_scale_0.8 6.23 best for test-other lm_scale_0.9 6.37 lm_scale_1.0 6.62 lm_scale_1.1 6.99 lm_scale_1.2 7.46 lm_scale_1.3 8.13 lm_scale_1.4 8.84 lm_scale_1.5 9.61 lm_scale_1.6 10.32 lm_scale_1.7 11.17 lm_scale_1.8 12.12 lm_scale_1.9 12.93 lm_scale_2.0 13.77 ``` #### n-best LM rescoring n = 100 ``` [test-clean-lm_scale_0.8] %WER 2.79% [1469 / 52576, 149 ins, 212 del, 1108 sub ] [test-other-lm_scale_0.8] %WER 6.36% [3329 / 52343, 259 ins, 666 del, 2404 sub ] ``` WERs of different LM scales are: ``` For test-clean, WER of different settings are: lm_scale_0.8 2.79 best for test-clean lm_scale_0.9 2.89 lm_scale_1.0 3.03 lm_scale_1.1 3.28 lm_scale_1.2 3.52 lm_scale_1.3 3.78 lm_scale_1.4 4.04 lm_scale_1.5 4.24 lm_scale_1.6 4.45 lm_scale_1.7 4.58 lm_scale_1.8 4.7 lm_scale_1.9 4.8 lm_scale_2.0 4.92 For test-other, WER of different settings are: lm_scale_0.8 6.36 best for test-other lm_scale_0.9 6.45 lm_scale_1.0 6.64 lm_scale_1.1 6.92 lm_scale_1.2 7.25 lm_scale_1.3 7.59 lm_scale_1.4 7.88 lm_scale_1.5 8.13 lm_scale_1.6 8.36 lm_scale_1.7 8.54 lm_scale_1.8 8.71 lm_scale_1.9 8.88 lm_scale_2.0 9.02 ```