Paper Abstract and Keywords |
Presentation |
2010-07-23 09:00
Speech Recognition using Phase Information based on Long-Term Analysis Kazumasa Yamamoto, Eiichi Sueyoshi, Seiichi Nakagawa (Toyohashi Univ. of Tech.) SP2010-40 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Current speech recognition systems use mainly amplitude spectrum-based features such as MFFC for acoustic feature parameters, while discarding phase spectral information. The results of perceptual experiments, however, suggested that phase spectral information based on long-term analysis includes certain linguistic information. In this paper, we propose the use of phase features based on long-term analysis for speech recognition. We use two types of parameters: the delta phase parameter as a group delay and analytic group delay features. Isolated word and continuous digit recognition experiments were performed, resulting in a greater than 90% word or digit accuracy for each of the experiments. The experimental results confirmed that a long-term phase spectrum includes sufficient information for recognizing speech. Furthermore, combining likelihoods of MFCC and long-term group delay cepstrum outperformed the baseline MFCC by relatively 20% for clean speech. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
speech recognition / phase information / long-term analysis / group delay spectrum / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 143, SP2010-40, pp. 31-36, July 2010. |
Paper # |
SP2010-40 |
Date of Issue |
2010-07-15 (SP) |
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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SP2010-40 |
Conference Information |
Committee |
SP |
Conference Date |
2010-07-22 - 2010-07-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Ryokusui-tei (Sendai) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Recognition, Understanding, Dialogue, etc.(Prallelized with SIG-SLP) |
Paper Information |
Registration To |
SP |
Conference Code |
2010-07-SP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Speech Recognition using Phase Information based on Long-Term Analysis |
Sub Title (in English) |
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Keyword(1) |
speech recognition |
Keyword(2) |
phase information |
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long-term analysis |
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group delay spectrum |
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1st Author's Name |
Kazumasa Yamamoto |
1st Author's Affiliation |
Toyohashi University of Technology (Toyohashi Univ. of Tech.) |
2nd Author's Name |
Eiichi Sueyoshi |
2nd Author's Affiliation |
Toyohashi University of Technology (Toyohashi Univ. of Tech.) |
3rd Author's Name |
Seiichi Nakagawa |
3rd Author's Affiliation |
Toyohashi University of Technology (Toyohashi Univ. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2010-07-23 09:00:00 |
Presentation Time |
25 minutes |
Registration for |
SP |
Paper # |
SP2010-40 |
Volume (vol) |
vol.110 |
Number (no) |
no.143 |
Page |
pp.31-36 |
#Pages |
6 |
Date of Issue |
2010-07-15 (SP) |
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