SLM: Bridge the Thin Gap Between Speech and Text Foundation Models-Reference-Cited by-同舟云学术

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SLM: Bridge the Thin Gap Between Speech and Text Foundation Models

Published:2023-12-16 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
language:
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Author:

Wang Mingqiu¹,Han Wei¹,Shafran Izhak¹,Wu Zelin¹,Chiu Chung-Cheng¹,Cao Yuan¹,Chen Nanxin¹,Zhang Yu¹,Soltau Hagen¹,Rubenstein Paul K.¹,Zilka Lukas¹,Yu Dian¹,Pundak Golan¹,Siddhartha Nikhil¹,Schalkwyk Johan¹,Wu Yonghui¹

Affiliation:

1. Google Deepmind

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389703.pdf?arnumber=10389703

Reference40 articles.

1. Gpt-4 technical report,2023

2. Palm 2 technical report;Anil,2023

3. Google usm: Scaling automatic speech recognition beyond 100 languages;Zhang;arXiv,2023

4. Robust speech recognition via large-scale weak supervision;Radford

5. Speechto-text adapter and speech-to-entity retriever augmented llms for speech understanding;Wang;arXiv,2023

Cited by 3 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. Retrieval Augmented End-to-End Spoken Dialog Models;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. VioLA: Conditional Language Models for Speech Recognition, Synthesis, and Translation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

3. Tuning Large Language Model for Speech Recognition With Mixed-Scale Re-Tokenization;IEEE Signal Processing Letters;2024

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