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Paper Abstract and Keywords
Presentation 2007-06-29 10:50
An investigation on speaker vector-based speaker identification under noisy conditions
Yuki Goto, Tatsuya Akatsu, Masaharu Katoh, Tetsuo Kosaka, Masaki Kohda (Yamagata Univ.) SP2007-18
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes the experimental results of the speaker identification method based on a speaker vector under noisy conditions.
The aim of this work is to improve the performance of the speaker identification under noisy conditions close to real environment. The identification system is based on the technique of anchor models. In this system, the location of each speaker is represented by the speaker vector which consists of the set of the likelihood between a target utterance and the anchor models. In order to achieve our goal, the following three methods were investigated : 1)Speech analysis method, 2)the training method of acoustic models, and 3) the structure of anchor models. Evaluations were performed on 8-speaker identification task in Japanese. The results showed that a speaker identification rate of 92.4% has been obtained by phonetically structured GMMs as anchor models under noisy conditions in which added noise types were different between reference speech and test speech.
Keyword (in Japanese) (See Japanese page) 
(in English) Speaker recognition / speaker identification / speaker identification under noisy conditions / hidden Markov model (HMM) / Gaussian mixture model(GMM) / phonetically structured GMM / Multi-condition model / AFE-WI008  
Reference Info. IEICE Tech. Rep., vol. 107, no. 116, SP2007-18, pp. 61-66, June 2007.
Paper # SP2007-18 
Date of Issue 2007-06-21 (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  
Conference Date 2007-06-28 - 2007-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Aizu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech Recognition, Speech Understanding, Speech Dialogue, etc. 
Paper Information
Registration To SP 
Conference Code 2007-06-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An investigation on speaker vector-based speaker identification under noisy conditions 
Sub Title (in English)  
Keyword(1) Speaker recognition  
Keyword(2) speaker identification  
Keyword(3) speaker identification under noisy conditions  
Keyword(4) hidden Markov model (HMM)  
Keyword(5) Gaussian mixture model(GMM)  
Keyword(6) phonetically structured GMM  
Keyword(7) Multi-condition model  
Keyword(8) AFE-WI008  
1st Author's Name Yuki Goto  
1st Author's Affiliation Yamagata University (Yamagata Univ.)
2nd Author's Name Tatsuya Akatsu  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
3rd Author's Name Masaharu Katoh  
3rd Author's Affiliation Yamagata University (Yamagata Univ.)
4th Author's Name Tetsuo Kosaka  
4th Author's Affiliation Yamagata University (Yamagata Univ.)
5th Author's Name Masaki Kohda  
5th Author's Affiliation Yamagata University (Yamagata Univ.)
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Speaker Author-1 
Date Time 2007-06-29 10:50:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2007-18 
Volume (vol) vol.107 
Number (no) no.116 
Page pp.61-66 
#Pages
Date of Issue 2007-06-21 (SP) 


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