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| Presentation | 2022-03-04 09:30 An estimation method of missing Information of compressed sound source using the Deep U-Net as an Auto-Encoder Kazuma Hirai, Susumu Kuroyanagi (NITech)  NC2021-69 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Some systems of speech-based information transmission, such as radio, telephone, and records, deal with sounds that lack information due to compression. This sound degradation is irreversible and not easy to recover. In this research, U-Net, a kind of CNN (convolutional neaural network), is used as an autoencoder to estimate and the missing information from compressed sound sources. In this paper, we propose a method to create a network that generates the information that the compressed sound had before compression by using U-Net for musical sounds for which large amounts of uncompressed data are available. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | compressed sound source / CNN / U-Net / Auto-Encoder / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 390, NC2021-69, pp. 121-126, March 2022. | |
| Paper # | NC2021-69 | |
| Date of Issue | 2022-02-23 (NC) | |
| 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 | NC2021-69 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2022-03-02 - 2022-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2022-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An estimation method of missing Information of compressed sound source using the Deep U-Net as an Auto-Encoder |
| Sub Title (in English) | |
| Keyword(1) | compressed sound source |
| Keyword(2) | CNN |
| Keyword(3) | U-Net |
| Keyword(4) | Auto-Encoder |
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| 1st Author's Name | Kazuma Hirai |
| 1st Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 2nd Author's Name | Susumu Kuroyanagi |
| 2nd Author's Affiliation | Nagoya Institute of Technology (NITech) |
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| Speaker | Author-1 |
| Date Time | 2022-03-04 09:30:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2021-69 |
| Volume (vol) | vol.121 |
| Number (no) | no.390 |
| Page | pp.121-126 |
| #Pages | 6 |
| Date of Issue | 2022-02-23 (NC) |
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