This is the source code of paper [Rethinking and Improving Multi-task Learning for End-to-end Speech Translation].
The code is forked from Fairseq-v0.12.2
, please refer to Fairseq
for more Installation details.
The training scripts and configurations on MuST-C
data-set are listed following:
egs
|---machone_translation
| |---train.sh
| |---decode.sh
| |---load_embedding.py
|---pretrain-all
| |---decode.sh
| |---device_run.sh
| |---joint_train.sh
More details are coming soon.