Bridging the cross-modal gap using adversarial training for speech-to-text translation-Reference-Cited by-同舟云学术

Bridging the cross-modal gap using adversarial training for speech-to-text translation

Published:2022-11 Issue: Volume:131 Page:103764
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Zhang Hao^ORCID,Yang Xukui,Qu Dan,Li Zhen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference49 articles.

1. Speech translation: coupling of recognition and translation;Ney,1999

2. Novel reordering approaches in phrase-based statistical machine translation;Kanthak,2005

3. Statistical phrase-based speech translation;Mathias,2006

4. Tight integrated end-to-end training for cascaded speech translation;Bahar,2021

5. Sequence-to-sequence models can directly translate foreign speech;Weiss,2017

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