Improving OpenAI’s Whisper Model for Transcribing Homophones in Legal News-Reference-Cited by-同舟云学术

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Improving OpenAI’s Whisper Model for Transcribing Homophones in Legal News

Published:2024-05-01 Issue: Volume: Page:108-113
ISSN:
Container-title:2024 10th International Conference on Engineering, Applied Sciences, and Technology (ICEAST)
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Author:

Siriket Lattapon¹,Jitkajornwanich Kulsawasd²,Jaiyen Saichon³,Intakosum Sarun¹

Affiliation:

1. King Mongkut’s Institute of Technology Ladkrabang,Department of Computer Science, School of Science,Bangkok,Thailand,10520

2. Texas Tech University,College of Media and Communication,Lubbock,TX,USA,79409

3. King Mongkut’s University of Technology,School of Information Technology,Thonburi,Bangkok,Thailand,10140

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553375/10553651/10554018.pdf?arnumber=10554018

Reference13 articles.

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

2. A Dictionary-Based Approach for Thai Text to Speech (TTTS)

3. State of the Art Review on Thai Text-to-Speech System

4. Improving word segmentation for Thai speech translation

5. Development of thai word segmentation technique for solving problems with unknown words

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