Paper Abstract and Keywords |
Presentation |
2007-12-11 13:50
Impact Noise Suppression for Speech Signals by Using a Morphological Component Analysis with DFT Hiroaki Hayashi, Makoto Nakashizuka, Youji Iiguni (Osaka Univ.) SIS2007-66 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Morphological component analysis (MCA) is a signal separation method using sparse signal representations. For separation by the MCA, the set of bases are defined. Each source is assumed to be represented by one of the bases sparsely. In this paper, we propose an impact noise suppression by using the MCA. In our approach, the DFT bases and the set of shifted impluses are employed for representation of speeches and noises, respectively. To perform the separation, the sparsity measure is imposed on the distributions of DFT spectrum. In experiments, we demonstrate that noise reduction capability of the proposed method for various impact noises. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Noise Supression / Sparse Signal Separation / Impact Noises / DFT Bases / Speech Processing / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 374, SIS2007-66, pp. 47-52, Dec. 2007. |
Paper # |
SIS2007-66 |
Date of Issue |
2007-12-04 (SIS) |
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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SIS2007-66 |
Conference Information |
Committee |
SIS |
Conference Date |
2007-12-10 - 2007-12-11 |
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(See Japanese page) |
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Paper Information |
Registration To |
SIS |
Conference Code |
2007-12-SIS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Impact Noise Suppression for Speech Signals by Using a Morphological Component Analysis with DFT |
Sub Title (in English) |
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Keyword(1) |
Noise Supression |
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Sparse Signal Separation |
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Impact Noises |
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DFT Bases |
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Speech Processing |
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1st Author's Name |
Hiroaki Hayashi |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
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Makoto Nakashizuka |
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Osaka University (Osaka Univ.) |
3rd Author's Name |
Youji Iiguni |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2007-12-11 13:50:00 |
Presentation Time |
35 minutes |
Registration for |
SIS |
Paper # |
SIS2007-66 |
Volume (vol) |
vol.107 |
Number (no) |
no.374 |
Page |
pp.47-52 |
#Pages |
6 |
Date of Issue |
2007-12-04 (SIS) |
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