Paper Abstract and Keywords |
Presentation |
2017-03-02 09:00
[Poster Presentation]
Performance evaluation of noisy shouted speech detection based on acoustic model with rahmonic and mel-frequency cepstrum coefficients Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.), Hiroaki Nanjo (Kyoto Univ.) EA2016-132 SIP2016-187 SP2016-127 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper describes a method based on new combined features with mel-frequency cepstrum coefficients (MFCCs) and rahmonic in order to robustly detect a shouted speech in noisy environments. MFCCs collectively make up mel-frequency cepstrum, and rahmonic shows a subharmonic of fundamental frequency in the cepstrum domain. In our previous method, Gaussian mixture models (GMM) is constructed with the proposed features extracted from training data which includes a lot of normal and shouted speech samples. In this paper, evaluation experiments of noisy shouted speech detection were conducted using not only GMM but also hidden Markov models (HMM) and deep neural network (DNN). The results show that MFCCs and rahmonic were effective for representing an utterance mechanism including both vocal tract and vocal cords. In addition, DNN could achieve higher performance in noisy environments than GMM and HMM. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Shouted speech detection / Noisy environment / Rahmonic / Mel-frequency cepstrum coefficients / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 477, SP2016-127, pp. 283-286, March 2017. |
Paper # |
SP2016-127 |
Date of Issue |
2017-02-22 (EA, SIP, 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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EA2016-132 SIP2016-187 SP2016-127 |
Conference Information |
Committee |
SP SIP EA |
Conference Date |
2017-03-01 - 2017-03-02 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Industry Support Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics |
Paper Information |
Registration To |
SP |
Conference Code |
2017-03-SP-SIP-EA |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Performance evaluation of noisy shouted speech detection based on acoustic model with rahmonic and mel-frequency cepstrum coefficients |
Sub Title (in English) |
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Keyword(1) |
Shouted speech detection |
Keyword(2) |
Noisy environment |
Keyword(3) |
Rahmonic |
Keyword(4) |
Mel-frequency cepstrum coefficients |
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1st Author's Name |
Takahiro Fukumori |
1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
2nd Author's Name |
Masato Nakayama |
2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
3rd Author's Name |
Takanobu Nishiura |
3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
4th Author's Name |
Hiroaki Nanjo |
4th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-03-02 09:00:00 |
Presentation Time |
90 minutes |
Registration for |
SP |
Paper # |
EA2016-132, SIP2016-187, SP2016-127 |
Volume (vol) |
vol.116 |
Number (no) |
no.475(EA), no.476(SIP), no.477(SP) |
Page |
pp.283-286 |
#Pages |
4 |
Date of Issue |
2017-02-22 (EA, SIP, SP) |
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