DocumentCode
3026473
Title
A study on artist similarity from raga performance
Author
Priyadarshini, Poonam ; Chakraborty, Soubhik
Author_Institution
Electron. & Commun., Birla Inst. of Technol., Patna, India
fYear
2015
fDate
15-16 May 2015
Firstpage
219
Lastpage
222
Abstract
Music information retrieval (MIR) is an emerging research area that receives growing attention from both the research community and the music industry. It addresses the problem of querying and retrieving certain types of music from large music database. People searched music of their choice from database by song title, composer and performer. Features of interest may include melody, harmony, rhythm, and instrumentation. Although every raga has a characteristic mood of its own, differences occur between renditions of the same raga based on the gharana or personal style of the artist. This paper discusses the use of the projection pursuit techniques along with mel-frequency cepstral coefficients (MFCC) to analyze the similarity between different artists singing the same raga.
Keywords
music; query processing; Gharana; MFCC; MIR; harmony; instrumentation; mel-frequency cepstral coefficient; melody; music database; music industry; music retrieval; projection pursuit technique; raga; rhythm; Automation; Feature extraction; Hidden Markov models; Mel frequency cepstral coefficient; Music; Speech recognition; Gharana; MFCC; artist classification; projection pursuit; raga;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-8889-1
Type
conf
DOI
10.1109/CCAA.2015.7148375
Filename
7148375
Link To Document