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Paper Abstract and Keywords
Presentation 2022-03-08 10:30
Analysis and visualization of pitch-by-pitch vocalization time of J-POP vocals
Runa Matsumoto, Takayuki Ito (Ocha Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Comparing previous and recent J-POP hit songs, the authors discuss the hypothesis that there are more leaps in phrases in recent years, and that both male and female vocalists have a larger number of songs with a higher pitch range. In order to verify this hypothesis, this study compares the characteristics of the pitch distribution among songs by extracting the pitches of vocalists and visualizing the pitch distribution as a histogram, and analyzes the difference between songs that are easy to sing and songs that are difficult to sing. In addition, we plan to calculate the similarity among the histograms to obtain the distribution of the pitch distribution and to discuss the trends of hit songs.
Keyword (in Japanese) (See Japanese page) 
(in English) Music Information Processing / Visualization / Vocal / / / / /  
Reference Info. ITE Tech. Rep., vol. 46, pp. 247-249, March 2022.
Paper #  
Date of Issue 2022-03-01 (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 2022-03-08 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2022 
Paper Information
Registration To AS 
Conference Code 2022-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis and visualization of pitch-by-pitch vocalization time of J-POP vocals 
Sub Title (in English)  
Keyword(1) Music Information Processing  
Keyword(2) Visualization  
Keyword(3) Vocal  
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1st Author's Name Runa Matsumoto  
1st Author's Affiliation Ochanomizu University (Ocha Univ.)
2nd Author's Name Takayuki Ito  
2nd Author's Affiliation Ochanomizu University (Ocha Univ.)
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Speaker Author-1 
Date Time 2022-03-08 10:30:00 
Presentation Time 90 minutes 
Registration for AS 
Paper # AIT2022-101 
Volume (vol) vol.46 
Number (no) no.10 
Page pp.247-249 
#Pages
Date of Issue 2022-03-01 (AIT) 


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