A Transformer-Based End-to-End Automatic Speech Recognition Algorithm-Reference-Cited by-同舟云学术

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A Transformer-Based End-to-End Automatic Speech Recognition Algorithm

Published:2023 Issue: Volume:30 Page:1592-1596
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Dong Fang¹^ORCID,Qian Yiyang²^ORCID,Wang Tianlei²^ORCID,Liu Peng³^ORCID,Cao Jiuwen²^ORCID

Affiliation:

1. School of Information and Electrical Engineering, Hangzhou City University, Hangzhou, China

2. Machine Learning and I-health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China

3. Zhejiang Baiying Technology Ltd. Company, Zhejiang, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

R&D Program of Zhejiang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10298618.pdf?arnumber=10298618

Reference35 articles.

1. ASR Error Correction and Domain Adaptation Using Machine Translation

2. Google's neural machine translation system: Bridging the gap between human and machine translation;wu,2016

3. Speech Recognition for Medical Conversations

4. Scheduled sampling for sequence prediction with recurrent neural networks;bengio;Proc Adv Neural Inf Process Syst,0

5. Shallow-Fusion End-to-End Contextual Biasing

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