• 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