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| Presentation | 2022-05-13 16:25 Study on noise reduction with a single noisy speech based on Double-DIP Hien Oonaka (NITTC), Takuya Fujimura (Nagoya Univ.), Ryoichi Miyazaki (NITTC)  EA2022-12 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes a new noise reduction method with an untrained Deep Neural Network ( DNN) for a single noisy speech. Image processing based on Deep Image Prior (DIP) has been proposed as a new deep learning framework that does not require pre-training using large amounts of data. DIP focuses on the image generation process in deep learning, and can achieve image processing such as noise reduction for a single degraded image using only an untrained convolutional neural network (CNN). In this study, we first conduct preliminary experiments on noise reduction of speech signals using only untrained CNNs with reference to DIP. Then, we experimentally show that image denoising based on DIP cannot be applied directly to speech signal denoising. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Noise removal / Deep learning / Deep Prior / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 20, EA2022-12, pp. 54-61, May 2022. | |
| Paper # | EA2022-12 | |
| Date of Issue | 2022-05-06 (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 | EA2022-12 |
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| Conference Information | |
| Committee | EA |
| Conference Date | 2022-05-13 - 2022-05-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2022-05-EA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on noise reduction with a single noisy speech based on Double-DIP |
| Sub Title (in English) | |
| Keyword(1) | Noise removal |
| Keyword(2) | Deep learning |
| Keyword(3) | Deep Prior |
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| 1st Author's Name | Hien Oonaka |
| 1st Author's Affiliation | National Institute of Technology, Tokuyama College (NITTC) |
| 2nd Author's Name | Takuya Fujimura |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 3rd Author's Name | Ryoichi Miyazaki |
| 3rd Author's Affiliation | National Institute of Technology, Tokuyama College (NITTC) |
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| Speaker | Author-1 |
| Date Time | 2022-05-13 16:25:00 |
| Presentation Time | 25 minutes |
| Registration for | EA |
| Paper # | EA2022-12 |
| Volume (vol) | vol.122 |
| Number (no) | no.20 |
| Page | pp.54-61 |
| #Pages | 8 |
| Date of Issue | 2022-05-06 (EA) |
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