• DocumentCode
    2575820
  • Title

    Key determination of acoustic musical signals

  • Author

    Shenoy, Arun ; Mohapatra, Roshni ; Wang, Ye

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Singapore, Singapore
  • Volume
    3
  • fYear
    2004
  • fDate
    27-30 June 2004
  • Firstpage
    1771
  • Abstract
    The work presents a novel rule-based approach for determining the key of acoustic musical signals. Knowledge of the key enables to be derived, from music knowledge, the pitch class elements that a piece of music uses. Our technique is a combination of chroma based frequency analysis and music knowledge of rhythm structure and chord change patterns followed by rule-based inference. Experimental results illustrate that 90% accuracy is achieved for key determination and we have given an explanation for the cases that have generated an incorrect key. Steps for further development are also outlined.
  • Keywords
    acoustic correlation; audio signal processing; inference mechanisms; knowledge based systems; music; acoustic musical signals; audio signals; chord change patterns; chroma based frequency analysis; key determination; music knowledge; pitch class elements; rhythm structure; rule-based approach; rule-based inference; Acoustic noise; Computational modeling; Frequency; Hidden Markov models; Humans; Image analysis; Multiple signal classification; Pattern analysis; Rhythm; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8603-5
  • Type

    conf

  • DOI
    10.1109/ICME.2004.1394598
  • Filename
    1394598