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 :
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