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Paper Abstract and Keywords
Presentation 2018-06-29 14:25
Symbol Classification and Pitch Recognition in Offline Handwritten Musical Score
Yuki Hayakawa, Tetsushi Wakabayashi, Yasuji Miyake (Mie Univ.), Wataru Ohyama (Kyushu Univ.) PRMU2018-35 SP2018-15
Abstract (in Japanese) (See Japanese page) 
(in English) To realize automatic recognition of handwritten music score in Optical Music Recognition (OMR), there are many problems : trimming of notation on staff, variety of notation appearance among writers, difference of distance between music symbols, to be solved. We propose classification and recognition methods for music symbols from offline handwritten music scores. We perform classification of music symbols and pitch recognition to notes with offline handwritten music score which removed staff. In classification step, we extract feature using chain code histogram from connected component in score without staff and classify each component into 18 classes using Modified Quadratic Discriminant Function. In recognition step, we divide a note into notehead, flag and stem and decide pitch from centroid’s position of notehead. As result, Accuracy of 90.2% was obtained in music symbol classification and Accuracy of 88.9% was obtained in pitch recognition, in the evaluation experiment on the CVC-MUSCIMA database.
Keyword (in Japanese) (See Japanese page) 
(in English) Optical Music Recognition / Handwritten Music Score / Chain Code Histogram / Modified Quadratic Discriminant Function / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 111, PRMU2018-35, pp. 73-77, June 2018.
Paper # PRMU2018-35 
Date of Issue 2018-06-21 (PRMU, SP) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee PRMU SP  
Conference Date 2018-06-28 - 2018-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2018-06-PRMU-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Symbol Classification and Pitch Recognition in Offline Handwritten Musical Score 
Sub Title (in English)  
Keyword(1) Optical Music Recognition  
Keyword(2) Handwritten Music Score  
Keyword(3) Chain Code Histogram  
Keyword(4) Modified Quadratic Discriminant Function  
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1st Author's Name Yuki Hayakawa  
1st Author's Affiliation Mie University (Mie Univ.)
2nd Author's Name Tetsushi Wakabayashi  
2nd Author's Affiliation Mie University (Mie Univ.)
3rd Author's Name Yasuji Miyake  
3rd Author's Affiliation Mie University (Mie Univ.)
4th Author's Name Wataru Ohyama  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2018-06-29 14:25:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2018-35, SP2018-15 
Volume (vol) vol.118 
Number (no) no.111(PRMU), no.112(SP) 
Page pp.73-77 
#Pages
Date of Issue 2018-06-21 (PRMU, SP) 


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