Paper Abstract and Keywords |
Presentation |
2014-06-19 17:15
Adaptive Speech Analysis Method Using Multivariate Empirical Mode Decomposition in Frequency Domain Surasak Boonkla, Masashi Unoki (JAIST) SP2014-54 WIT2014-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a novel method for speech analysis using multivariate empirical mode decomposition (MEMD) based on the source-filter (SF) model. The proposed method decomposes log-spectrum of a speech signal into two groups of the summed intrinsic-mode-functions (IMFs): the summation of first group contains fine structure corresponding to log-spectrum of the glottal source and the summation of the second group contains spectral envelope corresponding to frequency response of the vocal-tract filter. In the proposed method, the two groups can be automatically determined by using IMF classification based on autocorrelation of multivariate IMFs. We evaluate the proposed method in comparison with linear prediction (LP)-based and cepstrum methods to confirm its abilities. The results reveal that our proposed method can automatically and correctly separate two groups of IMFs, these of source and filter, in log-spectrum representation and effectively analyze speech signal as the same as abilities of LP-based and cepstrum methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Spectral envelope / multivariate empirical mode decomposition / speech analysis / log spectrum / source-filter model / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 91, SP2014-54, pp. 45-50, June 2014. |
Paper # |
SP2014-54 |
Date of Issue |
2014-06-12 (SP, WIT) |
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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SP2014-54 WIT2014-9 |
Conference Information |
Committee |
SP WIT ASJ-H |
Conference Date |
2014-06-19 - 2014-06-20 |
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(See Japanese page) |
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Paper Information |
Registration To |
SP |
Conference Code |
2014-06-SP-WIT-H |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Adaptive Speech Analysis Method Using Multivariate Empirical Mode Decomposition in Frequency Domain |
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Spectral envelope |
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multivariate empirical mode decomposition |
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speech analysis |
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log spectrum |
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source-filter model |
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1st Author's Name |
Surasak Boonkla |
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 |
2014-06-19 17:15:00 |
Presentation Time |
25 minutes |
Registration for |
SP |
Paper # |
SP2014-54, WIT2014-9 |
Volume (vol) |
vol.114 |
Number (no) |
no.91(SP), no.92(WIT) |
Page |
pp.45-50 |
#Pages |
6 |
Date of Issue |
2014-06-12 (SP, WIT) |
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