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Paper Abstract and Keywords
Presentation 2025-05-28 14:00
Construction and performance evaluation of dataset for automatic evaluation of the semantic relevance of environmental sounds and texts
Yuki Okamoto, Yusuke Kanamori, Taisei Takano (The Univ. of Tokyo), Shinnosuke Takamichi (Keio Univ./The Univ. of Tokyo), Yuki Saito (The Univ. of Tokyo), Ryotaro Nagase (Ritsumeikan Univ.), Hiroshi Saruwatari (The Univ. of Tokyo) EA2025-6
Abstract (in Japanese) (See Japanese page) 
(in English) With the development of machine learning, environmental sound synthesis, which is not limited to speech and music, has been proposed. One of the environmental sound synthesis that has been attracting attention is text-to-audio (TTA), which generates environmental sounds from text, such as ``a dog barks while a man talks in the background.'' In TTA, the relevance between text and output audio is an important evaluation aspect. Typically, it has been evaluated from both subjective and objective perspectives. However, subjective evaluation is costly in terms of money and time, and objective evaluation has low correlation to subjective evaluation scores. In this work, we construct an open-sourced dataset that subjectively evaluates the relevance. Also, we propose a model for automatically evaluating the subjective relevance between text and audio. Our model outperforms a conventional method, and that trend extends to many sound categories.
Keyword (in Japanese) (See Japanese page) 
(in English) environmental sound synthesis / text-to-audio / CLAPScore / subjective evaluation / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 36, EA2025-6, pp. 24-24, May 2025.
Paper # EA2025-6 
Date of Issue 2025-05-21 (EA) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2025-6

Conference Information
Committee EA  
Conference Date 2025-05-28 - 2025-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2025-05-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Construction and performance evaluation of dataset for automatic evaluation of the semantic relevance of environmental sounds and texts 
Sub Title (in English)  
Keyword(1) environmental sound synthesis  
Keyword(2) text-to-audio  
Keyword(3) CLAPScore  
Keyword(4) subjective evaluation  
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Keyword(6)  
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1st Author's Name Yuki Okamoto  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Yusuke Kanamori  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name Taisei Takano  
3rd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
4th Author's Name Shinnosuke Takamichi  
4th Author's Affiliation Keio University/The University of Tokyo (Keio Univ./The Univ. of Tokyo)
5th Author's Name Yuki Saito  
5th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
6th Author's Name Ryotaro Nagase  
6th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
7th Author's Name Hiroshi Saruwatari  
7th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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Speaker Author-1 
Date Time 2025-05-28 14:00:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2025-6 
Volume (vol) vol.125 
Number (no) no.36 
Page p.24 
#Pages 1 
Date of Issue 2025-05-21 (EA) 

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