• DocumentCode
    3413733
  • Title

    Pitch Estimation of Notes in Indian Classical Music

  • Author

    Mahendra, Siddarth Rai ; Patil, Hemant A. ; Shukla, Narendra Kumar

  • Author_Institution
    Grad. Inst. of Electr. Eng., NTPU, Taipei, Taiwan
  • fYear
    2009
  • fDate
    18-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Music consists of various tones having a definite pitch. Thus the study of music from a signal processing perspective involves extraction and processing of the pitch information of these tones. In this paper, we have introduced a new concept of fundamental score and its significance in a musical octave. We have applied autocorrelation method for the pitch extraction of musical notes in Indian Classical Music (ICM). We have tested this method on the data collected from male speech (sung by one of the authors) and a musical instrument, viz., Reed-Organ. The results were found to be quite accurate when compared with the standard pitch frequencies computed using the equal temperament musical tuning method. The advantage of the proposed scheme is that it does not require knowledge of the source (i.e., musical instrument) to estimate the musical notes.
  • Keywords
    acoustic signal processing; music; musical acoustics; Indian classical music; acoustic signal processing; male speech; musical instrument; notes pitch estimation; reed organ; tones; tuning; Autocorrelation; Data mining; Ear; Frequency conversion; Frequency estimation; Instruments; Multiple signal classification; Music; Signal processing; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2009 Annual IEEE
  • Conference_Location
    Gujarat
  • Print_ISBN
    978-1-4244-4858-6
  • Electronic_ISBN
    978-1-4244-4859-3
  • Type

    conf

  • DOI
    10.1109/INDCON.2009.5409364
  • Filename
    5409364