Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models-Reference-Cited by-同舟云学术

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Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models

Published:2023 Issue: Volume: Page:1-13
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Huh Jaeyoung¹^ORCID,Park Sangjoon¹^ORCID,Lee Jeong Eun²^ORCID,Ye Jong Chul³^ORCID

Affiliation:

1. Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea

2. Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea

3. Department of Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea

Funder

National Research Foundation of Korea

National Research foundation of Kore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/6363502/10372102.pdf?arnumber=10372102

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