Paper Abstract and Keywords |
Presentation |
2009-07-18 09:50
Speaking Style Classification of Spontaneous Speech Using Multiple-Regression HMM Takashi Nose, Takeshi Matsubara, Yusuke Ijima, Takao Kobayashi (Tokyo Inst. of Tech.) SP2009-46 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper describes speaking style classification and speech recognition for spontaneous speech based on multiple-regression HMM (MRHMM). In MRHMM, the mean vector of each probability density function is given by multiple regression of a low-dimensional vector, called style vector. Each component of the style vector corresponds to the intensity of expressivity of speaking style variation, and the type of speaking style can be classified by estimating the style vector for input speech based on an ML criterion. Moreover, in spontaneous speech recognition, acoustic models are adapted on-line by updating model parameters using the estimated style vector for each input utterance. The performance evaluation using the Corpus of Spontaneous Japanese (CSJ) shows that a high classification rate is obtained even when the amount of available training data is very limited. The effectiveness of the proposed technique is also shown by a phoneme recognition experiment. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
spontaneous speech / speaking style classification / style estimation / model adaptation / multiple-regression HMM / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 139, SP2009-46, pp. 31-36, July 2009. |
Paper # |
SP2009-46 |
Date of Issue |
2009-07-10 (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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SP2009-46 |
Conference Information |
Committee |
SP |
Conference Date |
2009-07-17 - 2009-07-18 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
SP |
Conference Code |
2009-07-SP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Speaking Style Classification of Spontaneous Speech Using Multiple-Regression HMM |
Sub Title (in English) |
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Keyword(1) |
spontaneous speech |
Keyword(2) |
speaking style classification |
Keyword(3) |
style estimation |
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model adaptation |
Keyword(5) |
multiple-regression HMM |
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1st Author's Name |
Takashi Nose |
1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
2nd Author's Name |
Takeshi Matsubara |
2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
3rd Author's Name |
Yusuke Ijima |
3rd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
4th Author's Name |
Takao Kobayashi |
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Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2009-07-18 09:50:00 |
Presentation Time |
25 minutes |
Registration for |
SP |
Paper # |
SP2009-46 |
Volume (vol) |
vol.109 |
Number (no) |
no.139 |
Page |
pp.31-36 |
#Pages |
6 |
Date of Issue |
2009-07-10 (SP) |
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