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Paper Abstract and Keywords
Presentation 2018-09-28 13:40
Study on speech representation for speech fingerprint using perceptual matching-pursuit algorithm
Dung Kim Tran, Huy Quoc Nguyen, Masashi Unoki (JAIST) LOIS2018-20 IE2018-40 EMM2018-59
Abstract (in Japanese) (See Japanese page) 
(in English) Recent studies have revealed the weakness of audio fingerprinting methods in speech signals. The problem is that spectrograms, which are used by conventional audio fingerprinting techniques, are not suitable for representing speech signals in the process of creating speech fingerprint. Instead, spikegrams are a preferable model because of their adaptability to speech. This paper evaluates different kinds of techniques that can be used to create spikegrams. The resulting spikegrams are compared in terms of sparsity and signal resynthesis quality. Furthermore, the abilities of the spikegrams in conveying speaker individuality and linguistic features are evaluated by utilizing a convolutional neural network in terms of recognition accuracy. Experiment results show that spikegrams created by using an algorithm of perceptual matching pursuit and Gammachirp base spectra are the most suitable model for representing speech signals in the process of creating speech fingerprint. In the scope of this paper, this kind of spikegrams has the lowest spike rate, highest identification accuracy, and comparable PESQ score.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech fingerprint / spikegram / perceptual matching-pursuit / Gammatone kernel / Gammachirp kernel / convolutional neural network / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 224, EMM2018-59, pp. 71-76, Sept. 2018.
Paper # EMM2018-59 
Date of Issue 2018-09-20 (LOIS, IE, EMM) 
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 LOIS2018-20 IE2018-40 EMM2018-59

Conference Information
Committee IEE-CMN EMM LOIS IE ITE-ME  
Conference Date 2018-09-27 - 2018-09-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu Int'l Convention Ctr. aka B-CON Plaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multimedia Communication/System, Lifelog Applications, IP Broadcasting/Video Transmission, Media Security, Media Processing (AI, Deep Learning), etc. 
Paper Information
Registration To EMM 
Conference Code 2018-09-CMN-EMM-LOIS-IE-ME 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on speech representation for speech fingerprint using perceptual matching-pursuit algorithm 
Sub Title (in English)  
Keyword(1) Speech fingerprint  
Keyword(2) spikegram  
Keyword(3) perceptual matching-pursuit  
Keyword(4) Gammatone kernel  
Keyword(5) Gammachirp kernel  
Keyword(6) convolutional neural network  
Keyword(7)  
Keyword(8)  
1st Author's Name Dung Kim Tran  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Huy Quoc Nguyen  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Masashi Unoki  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2018-09-28 13:40:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # LOIS2018-20, IE2018-40, EMM2018-59 
Volume (vol) vol.118 
Number (no) no.222(LOIS), no.223(IE), no.224(EMM) 
Page pp.71-76 
#Pages 6 
Date of Issue 2018-09-20 (LOIS, IE, EMM) 

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