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| Presentation | 2021-11-26 15:00 [Poster Presentation] A Study on Removal of Train Running Noise using U-Net for Spectrogram Images Motoki Ichikawa, Shota Sano, Jian Lin, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT)  SRW2021-49 SeMI2021-48 CNR2021-23 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this manuscript, we present the results of a study on the effect of speech denoising using spectrogram images obtained by short-time Fourier transform of sound. We converted the mixed sound data, which is the sound of running trains actually recorded and superimposed on the speech of a newspaper reading corpus, into images and removed the noise using U-Net, a deep neural network. In order to confirm the effectiveness of this method, we compared its performance with that of the conventional denoising method, spectral subtraction, in images, and confirmed that better performance could be obtained. In addition, we applied the trained model to the noise removal using the running sound which changed depending on the train section, and investigated the effect of the difference of the running sound on the removal performance. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Spectrogram, / Noise Removal / U-Net / Train running sound / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 266, SeMI2021-48, pp. 61-65, Nov. 2021. | |
| Paper # | SeMI2021-48 | |
| Date of Issue | 2021-11-18 (SRW, SeMI, CNR) | |
| 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 | SRW2021-49 SeMI2021-48 CNR2021-23 |
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| Conference Information | |
| Committee | SRW SeMI CNR |
| Conference Date | 2021-11-25 - 2021-11-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IoT Workshop |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2021-11-SRW-SeMI-CNR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Removal of Train Running Noise using U-Net for Spectrogram Images |
| Sub Title (in English) | |
| Keyword(1) | Spectrogram, |
| Keyword(2) | Noise Removal |
| Keyword(3) | U-Net |
| Keyword(4) | Train running sound |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Motoki Ichikawa |
| 1st Author's Affiliation | Kanagawa Institute of Technology (KAIT) |
| 2nd Author's Name | Shota Sano |
| 2nd Author's Affiliation | Kanagawa Institute of Technology (KAIT) |
| 3rd Author's Name | Jian Lin |
| 3rd Author's Affiliation | Kanagawa Institute of Technology (KAIT) |
| 4th Author's Name | Yuusuke Kawakita |
| 4th Author's Affiliation | Kanagawa Institute of Technology (KAIT) |
| 5th Author's Name | Tsuyoshi Miyazaki |
| 5th Author's Affiliation | Kanagawa Institute of Technology (KAIT) |
| 6th Author's Name | Hiroshi Tanaka |
| 6th Author's Affiliation | Kanagawa Institute of Technology (KAIT) |
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| Speaker | Author-1 |
| Date Time | 2021-11-26 15:00:00 |
| Presentation Time | 120 minutes |
| Registration for | SeMI |
| Paper # | SRW2021-49, SeMI2021-48, CNR2021-23 |
| Volume (vol) | vol.121 |
| Number (no) | no.265(SRW), no.266(SeMI), no.267(CNR) |
| Page | pp.74-78(SRW), pp.61-65(SeMI), pp.51-55(CNR) |
| #Pages | 5 |
| Date of Issue | 2021-11-18 (SRW, SeMI, CNR) |
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