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Paper Abstract and Keywords
Presentation 2017-07-28 11:15
Speaker Diarization for Face-to-Face Dialog of Service Counters Based on Appearance Pattern of Speakers
Mizuki Watabe (NTT DOCOMO), Atsushi Ando, Hosana Kamiyama, Satoshi Kobashikawa, Yushi Aono (NTT), Takanobu Oba, Yoshinori Isoda (NTT DOCOMO) SP2017-19
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a speaker diarization method for face-to-face dialogue of service counters using appearance pattern of speakers. In face-to-face dialog by a customer and an agent at service counters such as mobile phone shops and bank tellers, overlapping speech often occurs and makes speaker diarization difficult. To achieve an accurate diarization, our proposed method utilizes appearance pattern of speakers. Taking into account that agents do not frequently change their places, final agent-speaker labels are decided using context of estimated speaker labels. With customers, a customer only talks to a single agent and does not appear twice or more times in a day in most cases. Therefore, the proposed method first estimates segments of agents and then clustering of the customer speeches is applied to each of the segments, in which the clustering is performed so that near speeches are clustered in the same cluster. Consequently, our proposed method achieves 12.9% of diarization error rate on the simulated dialogue data of service counters of mobile phone shops.
Keyword (in Japanese) (See Japanese page) 
(in English) Diarization / Conversation at service counters / Speaker recognition / i-vector / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 160, SP2017-19, pp. 21-26, July 2017.
Paper # SP2017-19 
Date of Issue 2017-07-20 (SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2017-07-27 - 2017-07-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Akiu Resort Hotel Crescent 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech recognition and understanding, dialog system, etc. 
Paper Information
Registration To SP 
Conference Code 2017-07-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speaker Diarization for Face-to-Face Dialog of Service Counters Based on Appearance Pattern of Speakers 
Sub Title (in English)  
Keyword(1) Diarization  
Keyword(2) Conversation at service counters  
Keyword(3) Speaker recognition  
Keyword(4) i-vector  
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1st Author's Name Mizuki Watabe  
1st Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
2nd Author's Name Atsushi Ando  
2nd Author's Affiliation NTT Media Intelligence Laboratories (NTT)
3rd Author's Name Hosana Kamiyama  
3rd Author's Affiliation NTT Media Intelligence Laboratories (NTT)
4th Author's Name Satoshi Kobashikawa  
4th Author's Affiliation NTT Media Intelligence Laboratories (NTT)
5th Author's Name Yushi Aono  
5th Author's Affiliation NTT Media Intelligence Laboratories (NTT)
6th Author's Name Takanobu Oba  
6th Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
7th Author's Name Yoshinori Isoda  
7th Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
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Speaker Author-1 
Date Time 2017-07-28 11:15:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2017-19 
Volume (vol) vol.117 
Number (no) no.160 
Page pp.21-26 
#Pages
Date of Issue 2017-07-20 (SP) 


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