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Paper Abstract and Keywords
Presentation 2023-06-24 13:50
Environmental Sound Separation Considering Separation Distortion and Remixing Error
Kanta Shimonishi, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) SP2023-24
Abstract (in Japanese) (See Japanese page) 
(in English) This report aims to improve the performance of environmental sound separation by considering not only the separated sound’s distortion but also the error between the remixed sound and the input sound. When ideal separation is achieved in ambient sound separation, remixing the separated sounds is expected to return to the input sound mixture. Still, the remixed sound may be distorted due to separation distortion. In conventional sound separation model learning, only the error between the separated sound and the correct source is used as the loss function. By introducing the remix loss, which is the difference between the remixed and input mixtures, in addition to the conventional loss function, it is possible to learn while considering the error of the separated sound and the remix error between the remixed sound and input mixtures. In the evaluation experiments, we compared the performance under various conditions, such as using the L1 norm and SI-SDR loss for the remix loss and changing the learning weight parameters. The experimental results showed that SI-SDRi improved under several conditions, with a maximum improvement of 0.5 dB in separation performance. It was also found that the performance is only effective if the appropriate learning weight parameters are set.
Keyword (in Japanese) (See Japanese page) 
(in English) sound separation / environmental sound / separation distortion / remixing error / loss function / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 88, SP2023-24, pp. 119-124, June 2023.
Paper # SP2023-24 
Date of Issue 2023-06-16 (SP) 
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 SP2023-24

Conference Information
Committee SP IPSJ-MUS IPSJ-SLP  
Conference Date 2023-06-23 - 2023-06-24 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2023-06-SP-MUS-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Environmental Sound Separation Considering Separation Distortion and Remixing Error 
Sub Title (in English)  
Keyword(1) sound separation  
Keyword(2) environmental sound  
Keyword(3) separation distortion  
Keyword(4) remixing error  
Keyword(5) loss function  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kanta Shimonishi  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Takahiro Fukumori  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Yoichi Yamashita  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2023-06-24 13:50:00 
Presentation Time 140 minutes 
Registration for SP 
Paper # SP2023-24 
Volume (vol) vol.123 
Number (no) no.88 
Page pp.119-124 
#Pages 6 
Date of Issue 2023-06-16 (SP) 

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