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https://github.com/k2-fsa/icefall.git
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915e8e399c
- Added CHiME-4 dataset integration in asr_datamodule.py - Added Hugging Face upload script - Added RIR augmentation - Added Self-Distillation Training
20 lines
379 B
Markdown
Executable File
20 lines
379 B
Markdown
Executable File
## Introduction
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The encoder consists of Conformer layers in this folder. You can use the
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following command to start the training:
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```bash
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cd egs/librispeech/ASR
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export CUDA_VISIBLE_DEVICES="0,1,2,3"
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./transducer/train.py \
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--world-size 4 \
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--num-epochs 30 \
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--start-epoch 0 \
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--exp-dir transducer/exp \
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--full-libri 1 \
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--max-duration 250 \
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--lr-factor 2.5
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```
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