Paper Abstract and Keywords |
Presentation |
2020-12-01 11:25
[Tutorial Lecture]
A Theory for Controlling Musical Noise Based on Higher-Order Statistics Ryoichi Miyazaki, Takuya Fujimura (NITTC) SIS2020-30 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Although nonlinear speech enhancement methods can significantly eliminate background noise, it is known to generate musical noise. Musical noise is an artificial noise that is aurally very disagreeable and does not exist in nature. In this paper, we present a case study of the derivation of internal parameters that suppress the occurrence of musical noise by statistical and theoretical analysis.
The {it musical-noise-free theorem}, which does not generate any musical noise, is also described. In addition, we report on deep learning-based musical noise elimination. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Musical noise / speech enhancement / higher-order statistics / deep learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 269, SIS2020-30, pp. 18-23, Dec. 2020. |
Paper # |
SIS2020-30 |
Date of Issue |
2020-11-24 (SIS) |
ISSN |
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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SIS2020-30 |
Conference Information |
Committee |
SIS |
Conference Date |
2020-12-01 - 2020-12-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Smart Personal Systems, etc. |
Paper Information |
Registration To |
SIS |
Conference Code |
2020-12-SIS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Theory for Controlling Musical Noise Based on Higher-Order Statistics |
Sub Title (in English) |
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Musical noise |
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speech enhancement |
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higher-order statistics |
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deep learning |
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1st Author's Name |
Ryoichi Miyazaki |
1st Author's Affiliation |
National Institute of Technology, Tokuyama College (NITTC) |
2nd Author's Name |
Takuya Fujimura |
2nd Author's Affiliation |
National Institute of Technology, Tokuyama College (NITTC) |
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Speaker |
Author-1 |
Date Time |
2020-12-01 11:25:00 |
Presentation Time |
60 minutes |
Registration for |
SIS |
Paper # |
SIS2020-30 |
Volume (vol) |
vol.120 |
Number (no) |
no.269 |
Page |
pp.18-23 |
#Pages |
6 |
Date of Issue |
2020-11-24 (SIS) |
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