Paper Abstract and Keywords |
Presentation |
2015-12-02 16:30
Distant-talking speech recognition by reverberation-aware denoising autoencoder Yuma Ueda (Shizuoka Univ.), Longbiao Wang (Nagaoka Univ.), Atsuhiko Kai (Shizuoka Univ.) SP2015-77 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the distant-talking speech recognition, it is essential to deal with the noise and reverberation.Denoising autoencoder (DAE) is known to be effective as a method for removing these influences.However, conventional DAE is easily affected by mismatch between training data and test data because the performance of DAE depend on the environment or amount of data included in the training set.In this study, we also use reverberation features estimated by Multi Step Linear Prediction (MSLP) as additional to input of DAE.By explicitly considering the effects of reverberation, we solve the problems in conventional DAE-based system.We evaluate the proposed method by using the ``REVERB challenge'' (Reverberant Voice Enhancement and Recognition Benchmark) dataset.For SimData, the average Word Error Rate (WER) was reduced from 7.12% to 6.41%.For RealData, the average WER was reduced from 30.56% to 26.83%. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
speech recognition / dereverberation / denoising autoencoder / distant-talking speech / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 346, SP2015-77, pp. 55-60, Dec. 2015. |
Paper # |
SP2015-77 |
Date of Issue |
2015-11-25 (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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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SP2015-77 |
Conference Information |
Committee |
NLC IPSJ-NL SP IPSJ-SLP |
Conference Date |
2015-12-02 - 2015-12-04 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nagoya Inst of Tech. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The Second Natural Language Processing Symposium & The 17th Spoken Language Symposium |
Paper Information |
Registration To |
SP |
Conference Code |
2015-12-NLC-NL-SP-SLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Distant-talking speech recognition by reverberation-aware denoising autoencoder |
Sub Title (in English) |
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Keyword(1) |
speech recognition |
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dereverberation |
Keyword(3) |
denoising autoencoder |
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distant-talking speech |
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1st Author's Name |
Yuma Ueda |
1st Author's Affiliation |
Shizuoka University (Shizuoka Univ.) |
2nd Author's Name |
Longbiao Wang |
2nd Author's Affiliation |
Nagaoka University of Technology (Nagaoka Univ.) |
3rd Author's Name |
Atsuhiko Kai |
3rd Author's Affiliation |
Shizuoka University (Shizuoka Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-12-02 16:30:00 |
Presentation Time |
90 minutes |
Registration for |
SP |
Paper # |
SP2015-77 |
Volume (vol) |
vol.115 |
Number (no) |
no.346 |
Page |
pp.55-60 |
#Pages |
6 |
Date of Issue |
2015-11-25 (SP) |
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