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Multi-task learning for end-to-end speech translation.

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IMTL (Improved Multi-Task Learning for End-to-end Speech Translation)

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.

Useage

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.

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Multi-task learning for end-to-end speech translation.

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