Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing
Author:
Affiliation:
1. Carnegie Mellon University,US
2. George Mason University,US
3. Yahoo Japan Corporation,JP
Funder
Delta
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447926.pdf?arnumber=10447926
Reference56 articles.
1. Harnessing indirect training data for end-to-end automatic speech translation: Tricks of the trade;Pino
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3. Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation
4. An overview of multi-task learning in deep neural networks;Ruder,2017
5. SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
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