Paper Abstract and Keywords |
Presentation |
2021-07-16 13:00
Sound event detection based on complementary-label learning Keigo Wakayama, Shoichiro Saito (NTT) EA2021-17 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Sound Event Detection (SED) is an important research field that can be applied to smart cities, and etc. SED estimate the start and end of events in addition to the presence or absence of events in acoustic data. To improve the estimation accuracy, a lot of labeled data is required, but it is difficult to assign a lot of correct labels. Considering effectively utilizing the data with the complementary label (class that is not the correct answer), therefore, we propose a method to realize SED by learning model from complementary labeled data. The effectiveness of the method is confirmed experimentally. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Sound Event Detection / Audio Tagging / Weakly-supervised learning / Complementary-label learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 112, EA2021-17, pp. 77-82, July 2021. |
Paper # |
EA2021-17 |
Date of Issue |
2021-07-08 (EA) |
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) |
Download PDF |
EA2021-17 |
Conference Information |
Committee |
EA ASJ-H |
Conference Date |
2021-07-15 - 2021-07-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Speech, Musical Acoustics, Education in Acoustics, and Related Topics |
Paper Information |
Registration To |
EA |
Conference Code |
2021-07-EA-H |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Sound event detection based on complementary-label learning |
Sub Title (in English) |
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Sound Event Detection |
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Audio Tagging |
Keyword(3) |
Weakly-supervised learning |
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Complementary-label learning |
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1st Author's Name |
Keigo Wakayama |
1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
2nd Author's Name |
Shoichiro Saito |
2nd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
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Speaker |
Author-1 |
Date Time |
2021-07-16 13:00:00 |
Presentation Time |
25 minutes |
Registration for |
EA |
Paper # |
EA2021-17 |
Volume (vol) |
vol.121 |
Number (no) |
no.112 |
Page |
pp.77-82 |
#Pages |
6 |
Date of Issue |
2021-07-08 (EA) |
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