Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages

Author:

Wu Felix1,Kim Kwangyoun1,Watanabe Shinji2,Han Kyu J.1,McDonald Ryan1,Weinberger Kilian Q.1,Artzi Yoav1

Affiliation:

1. ASAPP Inc.

2. Carnegie Mellon University

Publisher

IEEE

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning for code generation: a survey;Science China Information Sciences;2024-08-20

2. Retrieval Augmented End-to-End Spoken Dialog Models;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Text-to-Speech and Speech-to-Text Models: A Systematic Examination of Diverse Approaches;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. Sequential2.0: Self-supervised Speech Translation Based on FAT Model and Replaced Token Detection;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

5. SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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