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| Paper Abstract and Keywords | ||
| Presentation | 2017-07-15 13:25 Investigation of spikegram-based signal representation for speech fingerprints Dung Kim Tran, Masashi Unoki (JAIST)  ISEC2017-32 SITE2017-24 ICSS2017-31 EMM2017-35 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper investigates the ability of spikegrams in representing the speech content and voice identications of speech signals that can be used for improving the quality of speech ngerprints. Although spectrogram is the most commonly used model for representing speech signals, the main drawback of this block-based coding method is that a speaker generates different speech signals for the same speech content. As a result, different spectrograms are created by frame-wise processing the speech signals, and subsequently, different ngerprints are extracted for the same speech content by the same speaker. For this reason, a representation model that can adapt to the variations of speech plays a signi cant role in achieving better accuracy and reliability of speech ngerprints. It has been reported that over-complete representation model { known as spikegram { outperforms spectrogram in representing speech signals as it is able to capture the structures of speech signals. This data-driven approach can be created by utilizing a matching pursuit algorithm and Gammatone dictionary to derive a better substitute for spectrogram. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | speech fingerprint / spikegram / matching pursuit algorithm / Gammatone filterbank / non-negative metrix factorization / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 128, EMM2017-35, pp. 241-246, July 2017. | |
| Paper # | EMM2017-35 | |
| Date of Issue | 2017-07-07 (ISEC, SITE, ICSS, EMM) | |
| 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) | |
| Download PDF | ISEC2017-32 SITE2017-24 ICSS2017-31 EMM2017-35 |
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| Conference Information | |
| Committee | SITE EMM ISEC ICSS IPSJ-CSEC IPSJ-SPT |
| Conference Date | 2017-07-14 - 2017-07-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EMM |
| Conference Code | 2017-07-SITE-EMM-ISEC-ICSS-CSEC-SPT |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Investigation of spikegram-based signal representation for speech fingerprints |
| Sub Title (in English) | |
| Keyword(1) | speech fingerprint |
| Keyword(2) | spikegram |
| Keyword(3) | matching pursuit algorithm |
| Keyword(4) | Gammatone filterbank |
| Keyword(5) | non-negative metrix factorization |
| Keyword(6) | |
| 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 | Masashi Unoki |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
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| Speaker | Author-1 |
| Date Time | 2017-07-15 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | EMM |
| Paper # | ISEC2017-32, SITE2017-24, ICSS2017-31, EMM2017-35 |
| Volume (vol) | vol.117 |
| Number (no) | no.125(ISEC), no.126(SITE), no.127(ICSS), no.128(EMM) |
| Page | pp.241-246 |
| #Pages | 6 |
| Date of Issue | 2017-07-07 (ISEC, SITE, ICSS, EMM) |
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