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Paper Abstract and Keywords
Presentation 2026-03-04 10:30
Application and performance evaluation of MERT features in award-based comparison of All Japan Band Competition recordings
Kai Hiraiwa, Satoru Fukayama (AIST) EA2025-132 SIP2025-152 SP2025-85
Abstract (in Japanese) (See Japanese page) 
(in English) This study examined which feature distances relative to a reference performance could reflect the ranking of judging results (Gold, Silver, Bronze) for a set of recorded performances of the same piece in the All Japan Band Competition. Using the Gold Prize-winning performance in each category as the reference source, we calculated reference distances based on chroma vectors and layer-wise embeddings from the self-supervised music expression model MERT (MERT-v1-95M). To correct for temporal shifts caused by tempo differences between performances, we performed dynamic time warping (DTW) using chroma vectors and defined the average cosine distance between MERT embeddings based on these aligned correspondences as the reference distance. Evaluation was conducted by determining the binary classification accuracy for predicting that ‘a performance closer to the reference will receive a higher award’ for comparison pairs consisting of the reference performance and two other performances. Results showed that MERT's second and thirteenth layers achieved high accuracy in Gold–Bronze comparisons, suggesting that reference distance can effectively compare performances with larger award gaps.
Keyword (in Japanese) (See Japanese page) 
(in English) MERT / Wind ensemble / Performance evaluation / Acoustic parameter / Learning-to-Rank / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 369, EA2025-132, pp. 344-349, March 2026.
Paper # EA2025-132 
Date of Issue 2026-02-23 (EA, SIP, SP) 
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 EA2025-132 SIP2025-152 SP2025-85

Conference Information
Committee SP EA SIP IPSJ-SLP  
Conference Date 2026-03-02 - 2026-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2026-03-SP-EA-SIP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Application and performance evaluation of MERT features in award-based comparison of All Japan Band Competition recordings 
Sub Title (in English)  
Keyword(1) MERT  
Keyword(2) Wind ensemble  
Keyword(3) Performance evaluation  
Keyword(4) Acoustic parameter  
Keyword(5) Learning-to-Rank  
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1st Author's Name Kai Hiraiwa  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST) (AIST)
2nd Author's Name Satoru Fukayama  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST) (AIST)
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Speaker Author-1 
Date Time 2026-03-04 10:30:00 
Presentation Time 20 minutes 
Registration for EA 
Paper # EA2025-132, SIP2025-152, SP2025-85 
Volume (vol) vol.125 
Number (no) no.369(EA), no.370(SIP), no.371(SP) 
Page pp.344-349 
#Pages 6 
Date of Issue 2026-02-23 (EA, SIP, SP) 

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