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| Presentation | 2019-07-18 13:00 [Poster Presentation] A study of source separation method for non-negative matrix factorization using machine learning Satoru Jomae, Kenko Ota, Hideaki Yoshino (NIT)  CQ2019-48 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We proposed a sound source separation method which consists of Non-negative matrix factorization and deep neural network. Although this method estimated musical instruments name of each amplitude spectrum using DNN, this method estimated the pitch of amplitude spectrum based on the correlation coefficient. Hence, in this paper, we improved the proposed method so that the proposed method estimates both musical instruments name and the pitch, simultaneously. In addition, we clarified the classification accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Non-negative Matrix Factorization / Deep Learning / Sound Source Separation / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 125, CQ2019-48, pp. 63-64, July 2019. | |
| Paper # | CQ2019-48 | |
| Date of Issue | 2019-07-11 (CQ) | |
| 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 | CQ2019-48 |
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| Conference Information | |
| Committee | CQ |
| Conference Date | 2019-07-18 - 2019-07-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Niigata Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Assessment, Measurement and Control of QoE and QoS, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2019-07-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of source separation method for non-negative matrix factorization using machine learning |
| Sub Title (in English) | |
| Keyword(1) | Non-negative Matrix Factorization |
| Keyword(2) | Deep Learning |
| Keyword(3) | Sound Source Separation |
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| 1st Author's Name | Satoru Jomae |
| 1st Author's Affiliation | Nippon Institute of Technology (NIT) |
| 2nd Author's Name | Kenko Ota |
| 2nd Author's Affiliation | Nippon Institute of Technology (NIT) |
| 3rd Author's Name | Hideaki Yoshino |
| 3rd Author's Affiliation | Nippon Institute of Technology (NIT) |
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| Speaker | Author-1 |
| Date Time | 2019-07-18 13:00:00 |
| Presentation Time | 90 minutes |
| Registration for | CQ |
| Paper # | CQ2019-48 |
| Volume (vol) | vol.119 |
| Number (no) | no.125 |
| Page | pp.63-64 |
| #Pages | 2 |
| Date of Issue | 2019-07-11 (CQ) |
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