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Paper Abstract and Keywords
Presentation 2023-06-24 13:50
[Short Paper] SBERT-based Musical Components Estimation from Lyrics Trained with Imbalanced "Orpheus" Data
Mastuti Puspitasari, Takuya Takahashi (UEC), Gen Hori (AU), Shigeki Sagayama, Toru Nakashika (UEC) SP2023-18
Abstract (in Japanese) (See Japanese page) 
(in English) This research was done to develop neural models that are capable of estimating appropriate musical components based on lyrics input. We extracted paired data of lyrics and musical components from “Orpheus”, a Japanese automated composition system with over 6000 user-published songs on the platform and used them as training data. These lyrics are converted into text embeddings with Sentence-BERT and then fed into neural models with their respective musical components for training. The imbalance in the data is mitigated by using focal loss to avoid overfitting and the performance of our models are evaluated subjectively through a survey. These models can be implemented in automated composition system to provide automated setup recommendation for the users and or used as a source of
inspiration in conventional composition.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural models / musical components / lyrics / Orpheus / automated composition / text embeddings / Sentence-BERT / focal loss  
Reference Info. IEICE Tech. Rep., vol. 123, no. 88, SP2023-18, pp. 86-90, June 2023.
Paper # SP2023-18 
Date of Issue 2023-06-16 (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 SP IPSJ-MUS IPSJ-SLP  
Conference Date 2023-06-23 - 2023-06-24 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2023-06-SP-MUS-SLP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) SBERT-based Musical Components Estimation from Lyrics Trained with Imbalanced "Orpheus" Data 
Sub Title (in English)  
Keyword(1) Neural models  
Keyword(2) musical components  
Keyword(3) lyrics  
Keyword(4) Orpheus  
Keyword(5) automated composition  
Keyword(6) text embeddings  
Keyword(7) Sentence-BERT  
Keyword(8) focal loss  
1st Author's Name Mastuti Puspitasari  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Takuya Takahashi  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Gen Hori  
3rd Author's Affiliation Asia University (AU)
4th Author's Name Shigeki Sagayama  
4th Author's Affiliation The University of Electro-Communications (UEC)
5th Author's Name Toru Nakashika  
5th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2023-06-24 13:50:00 
Presentation Time 140 minutes 
Registration for SP 
Paper # SP2023-18 
Volume (vol) vol.123 
Number (no) no.88 
Page pp.86-90 
#Pages
Date of Issue 2023-06-16 (SP) 


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