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| Presentation | 2019-07-17 14:50 A Study on Automatic Summarization of Music Data Based on Its Acoustic Features Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.)  EA2019-19 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper describes the method of automatic music summarization. Music has a repetitive structure, so we detect the repeated part based on the change of feature quantity first and summarize music by taking only one part out of the detected repeated parts. Mel-Frequency Cepstrum Coefficients (MFCC) is used as the feature quantity. There is a method for obtaining repetitive and memorable section of an acoustic signal of music. However, a section obtained using the method represents only one part of music data and it is inappropriate as its summary. Therefore, this research aims to obtain multiple sections, not just one section. After explaining the result that summarized the music, future tasks are described. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Summarization of Music / Mel-Frequency Cepstrum Coefficients(MFCC) / k-means clustering / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 115, EA2019-19, pp. 99-102, July 2019. | |
| Paper # | EA2019-19 | |
| Date of Issue | 2019-07-09 (EA) | |
| 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 | EA2019-19 |
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| Conference Information | |
| Committee | EA ASJ-H ASJ-AA |
| Conference Date | 2019-07-16 - 2019-07-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | SAPPORO COMMUNITY PLAZA |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Architectural Acoustics, Education in Acoustics, and Related Topics |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2019-07-EA-H-AA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Automatic Summarization of Music Data Based on Its Acoustic Features |
| Sub Title (in English) | |
| Keyword(1) | Summarization of Music |
| Keyword(2) | Mel-Frequency Cepstrum Coefficients(MFCC) |
| Keyword(3) | k-means clustering |
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| 1st Author's Name | Yudai Kikuchi |
| 1st Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name | Naofumi Aoki |
| 2nd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name | Yoshinori Dobashi |
| 3rd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-07-17 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | EA |
| Paper # | EA2019-19 |
| Volume (vol) | vol.119 |
| Number (no) | no.115 |
| Page | pp.99-102 |
| #Pages | 4 |
| Date of Issue | 2019-07-09 (EA) |
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