| <<<<<<< HEAD | |
| Note: This recipe is trained with the codes from this PR https://github.com/k2-fsa/icefall/pull/261 | |
| And the SpecAugment codes from this PR https://github.com/lhotse-speech/lhotse/pull/604. | |
| # Pre-trained Transducer-Stateless models for the TEDLium3 dataset with icefall. | |
| The model was trained on full [TEDLium3](https://www.openslr.org/51) with the scripts in [icefall](https://github.com/k2-fsa/icefall). | |
| ## Training procedure | |
| The main repositories are list below, we will update the training and decoding scripts with the update of version. | |
| k2: https://github.com/k2-fsa/k2 | |
| icefall: https://github.com/k2-fsa/icefall | |
| lhotse: https://github.com/lhotse-speech/lhotse | |
| * Install k2 and lhotse, k2 installation guide refers to https://k2.readthedocs.io/en/latest/installation/index.html, lhotse refers to https://lhotse.readthedocs.io/en/latest/getting-started.html#installation. I think the latest version would be ok. And please also install the requirements listed in icefall. | |
| * Clone icefall(https://github.com/k2-fsa/icefall) and check to the commit showed above. | |
| ``` | |
| git clone https://github.com/k2-fsa/icefall | |
| cd icefall | |
| ``` | |
| * Preparing data. | |
| ``` | |
| cd egs/tedlium3/ASR | |
| bash ./prepare.sh | |
| ``` | |
| * Training | |
| ``` | |
| export CUDA_VISIBLE_DEVICES="0,1,2,3" | |
| ./pruned_transducer_stateless/train.py \ | |
| --world-size 4 \ | |
| --num-epochs 30 \ | |
| --start-epoch 0 \ | |
| --exp-dir pruned_transducer_stateless/exp \ | |
| --max-duration 300 | |
| ``` | |
| ## Evaluation results | |
| The decoding results (WER%) on TEDLium3 (dev and test) are listed below, we got this result by averaging models from epoch 17 to 29. | |
| The WERs are | |
| | | dev | test | comment | | |
| |------------------------------------|------------|------------|------------------------------------------| | |
| | greedy search | 7.27 | 6.69 | --epoch 29, --avg 13, --max-duration 100 | | |
| | beam search (beam size 4) | 6.70 | 6.04 | --epoch 29, --avg 13, --max-duration 100 | | |
| | modified beam search (beam size 4) | 6.77 | 6.14 | --epoch 29, --avg 13, --max-duration 100 | | |