Pre-Trained Acoustic-and-Textual Modeling for End-To-End Speech-To-Text Translation-Reference-Cited by-同舟云学术

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Pre-Trained Acoustic-and-Textual Modeling for End-To-End Speech-To-Text Translation

Published:2024-04-14 Issue: Volume:1050 Page:11451-11455
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhang Weitai¹,Zhang Hanyi²,Liu Chenxuan¹,Ye Zhongyi¹,Zhou Xinyuan²,Lin Chao²,Dai Lirong¹

Affiliation:

1. University of Science and Technology of China,Hefei,China

2. IFLYTEK Research,Hefei,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446635.pdf?arnumber=10446635

Reference34 articles.

1. Revisiting end-toend speech-to-text translation from scratch;Zhang;PMLR,2022

2. A Comparative Study on End-to-End Speech to Text Translation

3. An Attentional Model for Speech Translation Without Transcription

4. Listen and translate: A proof of concept for end-to-end speech-totext translation;Bérard

5. Sequence-to-Sequence Models Can Directly Translate Foreign Speech

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