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Paper Abstract and Keywords
Presentation 2014-07-26 10:30
Dialogue group detection and speaker diarization for multi-party conversational speech recorded by multiple smartphones
Koji Iwano, Toko Iizuka, Kanoko Saito, Shuhei Yoneyama (Tokyo City Univ.) SP2014-71
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes acoustic information processing techniques for multi-party conversational speech recorded by attendees’ smartphones. “Dialogue group detection” and “speaker diarization” are essential techniques for processing such conversational speech. In this paper, we propose baseline methods for the two techniques and evaluate their performance. In order to build the speech database for the evaluation, 7 hours of speech data are collected from 15 multi-party conversations by using multiple smartphones. Our proposed group detection method converts acoustic data recorded by each attendee’s smartphone into a high-order feature vector, and then employs a cluster analysis for a set of the vectors. Experimental results show that the best purity calculated from the estimated dialogue groups is 89.5%. Our speaker diarization method detects voice segments of each smartphone owner from the speech data recorded by his/her own smartphone. It is based on the same framework as that of speech recognition, and uses speaker models of all attendees. Experimental results show that the best detection rate (F-measure value) is 64.4%.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-party conversational speech / Dialogue group detection / Speaker diarization / Smartphone / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 151, SP2014-71, pp. 47-52, July 2014.
Paper # SP2014-71 
Date of Issue 2014-07-17 (SP) 
ISSN Print edition: ISSN 0913-5685    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)
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Conference Information
Committee SP IPSJ-SLP  
Conference Date 2014-07-24 - 2014-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Hanamaki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech recognition and understanding, dialog system, etc. 
Paper Information
Registration To SP 
Conference Code 2014-07-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dialogue group detection and speaker diarization for multi-party conversational speech recorded by multiple smartphones 
Sub Title (in English)  
Keyword(1) Multi-party conversational speech  
Keyword(2) Dialogue group detection  
Keyword(3) Speaker diarization  
Keyword(4) Smartphone  
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1st Author's Name Koji Iwano  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Toko Iizuka  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ.)
3rd Author's Name Kanoko Saito  
3rd Author's Affiliation Tokyo City University (Tokyo City Univ.)
4th Author's Name Shuhei Yoneyama  
4th Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2014-07-26 10:30:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2014-71 
Volume (vol) vol.114 
Number (no) no.151 
Page pp.47-52 
#Pages 6 
Date of Issue 2014-07-17 (SP) 

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