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| Presentation | 2016-11-16 15:00 [Poster Presentation] Musical Instrument Sound Classification through CNN with Wavelet Analysis Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.)  IBISML2016-51 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In music information processing, the instrument sounds analysis using a computer is an important research theme to analyze a musical composition. We know that the musical sounds are constructed by sum of some musical single tones weighted by a positive number. The analysis of musical sounds of musical composition can be realized by NMF(Non-negative Matrix Factorization) using a pre-trained dictionary. At this time, it is important to select well-posed features for making a pre-trained dictionary. This study assumed that the image data that visualized a result by the wavelet analysis of the instrument sounds as features of input data in this paper and performed image recognition by the machine learning. At first I make image data of the vertical axis is wavelet coefficient and the horizontal axis is time of a result by the wavelet analysis of the instrument sounds. Then this study implemented Imagenet as input in Chainer which is a tool of the deep learning. By such a system, this study performed an experiment for the instrument sound that made with the flute, the oboe, three kinds of musical instruments of the fagott and confirmed the effectiveness of this technique. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | instrument sounds / musical chords / wavelet analysis / chainer / imagenet / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 300, IBISML2016-51, pp. 45-49, Nov. 2016. | |
| Paper # | IBISML2016-51 | |
| Date of Issue | 2016-11-09 (IBISML) | |
| 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 | IBISML2016-51 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2016-11-16 - 2016-11-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2016) |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2016-11-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Musical Instrument Sound Classification through CNN with Wavelet Analysis |
| Sub Title (in English) | |
| Keyword(1) | instrument sounds |
| Keyword(2) | musical chords |
| Keyword(3) | wavelet analysis |
| Keyword(4) | chainer |
| Keyword(5) | imagenet |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shu Eguchi |
| 1st Author's Affiliation | Fukuoka University (Fukuoka Univ.) |
| 2nd Author's Name | Masaru Tanaka |
| 2nd Author's Affiliation | Fukuoka University (Fukuoka Univ.) |
| 3rd Author's Name | Jun Fujiki |
| 3rd Author's Affiliation | Fukuoka University (Fukuoka Univ.) |
| 4th Author's Name | Takio Kurita |
| 4th Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-11-16 15:00:00 |
| Presentation Time | 180 minutes |
| Registration for | IBISML |
| Paper # | IBISML2016-51 |
| Volume (vol) | vol.116 |
| Number (no) | no.300 |
| Page | pp.45-49 |
| #Pages | 5 |
| Date of Issue | 2016-11-09 (IBISML) |
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