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| Presentation | 2018-01-29 14:25 Towards a Wind noise reduction method using DNN Toya Kitagawa, Kazuhiro Kondo (Yamagata Univ.)  EMM2017-67 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In a speech navigation system using bicycle Audio Augmented Reality, blocking of the environmental sound by wearing the ear with a presentation device such as an earphone becomes a problem. Therefore, a microphone and a earphone are integrated in to a hear-through earphone which transparently presents ambient environmental sound. In using this, there is a problem that not only environmental sound but also wind noise is acquired, so it is difficult to hear navigation sounds and environmental sounds. So, in the previous research, various wind noise reduction methods under the conditions actually used in real time in the bicycle were systematically evaluated and compared. Wiener itaration filter was found to be the most effective for wind noise reduction, but the use of high pass filter and windshield is also a well-balanced method. In this research, we aim to eliminate wind noise by DNN as a new wind noise reduction method. In supervised learning, inputs are wind noise and car horn, outputs are only car horn. As a result, wind noise could be completely eliminated. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Audio Augmented Reality / Wind noise / Environmental sound / DNN / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 425, EMM2017-67, pp. 7-12, Jan. 2018. | |
| Paper # | EMM2017-67 | |
| Date of Issue | 2018-01-22 (EMM) | |
| 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) | |
| Download PDF | EMM2017-67 |
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| Conference Information | |
| Committee | EMM |
| Conference Date | 2018-01-29 - 2018-01-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Univ. (Aobayama Campus) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Sense of Presence, Universal Media, Digital Entertainment, etc. |
| Paper Information | |
| Registration To | EMM |
| Conference Code | 2018-01-EMM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Towards a Wind noise reduction method using DNN |
| Sub Title (in English) | |
| Keyword(1) | Audio Augmented Reality |
| Keyword(2) | Wind noise |
| Keyword(3) | Environmental sound |
| Keyword(4) | DNN |
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| Keyword(8) | |
| 1st Author's Name | Toya Kitagawa |
| 1st Author's Affiliation | Yamagata University (Yamagata Univ.) |
| 2nd Author's Name | Kazuhiro Kondo |
| 2nd Author's Affiliation | Yamagata University (Yamagata Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-01-29 14:25:00 |
| Presentation Time | 25 minutes |
| Registration for | EMM |
| Paper # | EMM2017-67 |
| Volume (vol) | vol.117 |
| Number (no) | no.425 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2018-01-22 (EMM) |
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