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Paper Abstract and Keywords
Presentation 2026-06-05 14:00
A study on laugher-to-speech and laughter-to-laughter separation using Conv-TasNet
Akihiro Miyake, Yoshiko Arimoto (Chiba Tech) SP2026-4
Abstract (in Japanese) (See Japanese page) 
(in English) This study tackled the separation of overlapping laughter from multiple speakers.
Two speakers, one male and one female, who laughed most frequently among speakers in a spontaneous dialog speech corpus, were selected, and their laughter and speech were superimposed to train Conv-TasNet.
Three combinations of overlapping data were prepared: laughter-to-laughter, laughter-to-speech, and speech-to-speech.
Conv-TasNet was trained with each combination of superimposed data, and the separation performance was compared.
Source-to-Distortion Ratio (SDR) and Source-to-Interferences Ratio (SIR) were used for our evaluation metrics.
As a result, the SDR values for speech-to-speech and laughter-to-speech were 15.60 dB and 13.99 dB, respectively, which indicates the separation accuracy didn't significantly degrade when separating laughter from speech.
However, the SDR for laughter-to-laughter was 8.97 dB, which suggests the separation accuracy significantly degraded when separating laughter from laughter.
Although this study showed that the performance of laughter separation from speech was comparable to that of speech separation, separating laughter from laughter remains a challenging task.
Further improvements in speech separation models are required to enable more effective laughter–laughter separation.
Keyword (in Japanese) (See Japanese page) 
(in English) laughter / speech separation / spontaneous speech / Conv-TasNet / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 58, SP2026-4, pp. 19-24, June 2026.
Paper # SP2026-4 
Date of Issue 2026-05-29 (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 SP2026-4

Conference Information
Committee SP IPSJ-SLP IPSJ-MUS  
Conference Date 2026-06-05 - 2026-06-06 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Electro-Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2026-06-SP-SLP-MUS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on laugher-to-speech and laughter-to-laughter separation using Conv-TasNet 
Sub Title (in English)  
Keyword(1) laughter  
Keyword(2) speech separation  
Keyword(3) spontaneous speech  
Keyword(4) Conv-TasNet  
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1st Author's Name Akihiro Miyake  
1st Author's Affiliation Chiba Institute of Technology (Chiba Tech)
2nd Author's Name Yoshiko Arimoto  
2nd Author's Affiliation Chiba Institute of Technology (Chiba Tech)
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Speaker Author-1 
Date Time 2026-06-05 14:00:00 
Presentation Time 180 minutes 
Registration for SP 
Paper # SP2026-4 
Volume (vol) vol.126 
Number (no) no.58 
Page pp.19-24 
#Pages 6 
Date of Issue 2026-05-29 (SP) 

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