Simple2In1: A Simple Method for Fusing Two Sequences from Different Captioning Systems into One Sequence for a Small-scale Thai Dataset-Reference-Cited by-同舟云学术

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Simple2In1: A Simple Method for Fusing Two Sequences from Different Captioning Systems into One Sequence for a Small-scale Thai Dataset

Published:2023-11-27 Issue: Volume: Page:
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Container-title:2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
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Author:

Longjaroen Wuttinan¹,Chay-Intr Thodsaporn²,Funakoshi Kotaro³,Chotimongkol Ananlada⁴,Usanavasin Sasiporn¹

Affiliation:

1. Thammasat University,Sirindhorn International Institute of Technology,Thailand

2. Tokyo Institute of Technology,School of Engineering,Japan

3. Tokyo Institute of Technology,Institute of Innovative Research,Japan

4. National Science and Technology Development Agency,Thailand

Funder

Thammasat University

Technology Development

Tokyo Institute of Technology

Royal Society

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10354349/10354541/10355030.pdf?arnumber=10355030

Reference25 articles.

1. Towards Automatic Captioning of University Lectures for French students who are Deaf

2. English Broadcast News Speech Recognition by Humans and Machines

3. Automatic speech recognition and its application to media monitoring;Robert;CMST,2021

4. Accessibility Evaluation of Classroom Captions

5. Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings

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