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Paper Abstract and Keywords
Presentation 2017-03-14 13:00
Visualization of music based on lyrics and song characteristics
Nozomi Midorikawa, Toru Kano, Yuriko Takeshima (Tokyo Univ. of Tech.)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, along with digitization of music, it has become possible to carry a large number of music with portable music players or smartphones. However, as the number of songs that you can possess has increased, it has become difficult to select a song that matches your mood and preference from among them. In such cases, “visualization” that expresses music information with images would be useful to grasp the contents of music in a short time and to select a song efficiently. In this study, we propose a visualization method based on a morpheme analysis for lyrics and acoustic features so that you can intuitively understand the atmosphere of the music. As a result, it became possible to grasp the impression of music visually, and easy to select a song from a large number of music.
Keyword (in Japanese) (See Japanese page) 
(in English) Music Visualization / Acoustic Features / Morphological Analysis / / / / /  
Reference Info. ITE Tech. Rep., vol. 41, pp. 271-272, March 2017.
Paper #  
Date of Issue 2017-03-07 (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 2017-03-14 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Ochanomizu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AS 
Conference Code 2017-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Visualization of music based on lyrics and song characteristics 
Sub Title (in English)  
Keyword(1) Music Visualization  
Keyword(2) Acoustic Features  
Keyword(3) Morphological Analysis  
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1st Author's Name Nozomi Midorikawa  
1st Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
2nd Author's Name Toru Kano  
2nd Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
3rd Author's Name Yuriko Takeshima  
3rd Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
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Speaker Author-1 
Date Time 2017-03-14 13:00:00 
Presentation Time 90 minutes 
Registration for AS 
Paper # AIT2017-123 
Volume (vol) vol.41 
Number (no) no.12 
Page pp.271-272 
#Pages
Date of Issue 2017-03-07 (AIT) 


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