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Paper Abstract and Keywords
Presentation 2021-03-08 13:30
Visualization of song collections for understanding of the relationship between metadata and features
Midori Watanabe, Narumi Kuroko (Ochanomizu Univ.), Hayato Ohya (RecoChoku Co., Ltd.), Takayuki Itoh (Ochanomizu Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) When performing automatic classification and recommendation for music, there exists a problem that it is not clear which metadata and features of songs should be selected, and it is difficult how to discuss the usefulness of each element.Therefore, we tackle the visualization for songs and its metadata to examine the effective factors (metadata, acoustic features, machine learning methods and visualization methods) for music classification tasks and to discover new relationships between acoustic features and metadata.In this study, we discuss the result of the visualization about acoustic features and metadata distributions calculated from any group of songs using music signal processing tools and machine learning methods.And then, we show some experimental results using metadata like release date and composer name and acoustic features calculated from tempo, average value of the sound volume, and machine learning methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Music Information Processing,Visualization,Music Classification / Visualization / Music Classification / / / / /  
Reference Info. ITE Tech. Rep., vol. 45, no. 8, AIT2021-95, pp. 223-226, March 2021.
Paper #  
Date of Issue 2021-03-01 (AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2021-03-08 - 2021-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2021 
Paper Information
Registration To AS 
Conference Code 2021-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Visualization of song collections for understanding of the relationship between metadata and features 
Sub Title (in English)  
Keyword(1) Music Information Processing,Visualization,Music Classification  
Keyword(2) Visualization  
Keyword(3) Music Classification  
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1st Author's Name Midori Watanabe  
1st Author's Affiliation Ochanomizu University (Ochanomizu Univ.)
2nd Author's Name Narumi Kuroko  
2nd Author's Affiliation Ochanomizu University (Ochanomizu Univ.)
3rd Author's Name Hayato Ohya  
3rd Author's Affiliation RecoChoku Co., Ltd. (RecoChoku Co., Ltd.)
4th Author's Name Takayuki Itoh  
4th Author's Affiliation Ochanomizu University (Ochanomizu Univ.)
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Speaker
Date Time 2021-03-08 13:30:00 
Presentation Time 75 
Registration for AS 
Paper # ITE-AIT2021-95 
Volume (vol) ITE-45 
Number (no) no.8 
Page pp.223-226 
#Pages ITE-4 
Date of Issue ITE-AIT-2021-03-01 


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