• DocumentCode
    1712417
  • Title

    Melodic pitch extraction from music signals using modified group delay functions

  • Author

    Rajan, Rajeev ; Murthy, Hema A.

  • Author_Institution
    Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a method to extract the melody pitch in a polyphonic environment, using phase information of the signal. Group delay functions are used for melody extraction. The group delay function computed directly from the speech signal has been widely used to extract source and system parameters. The main objective of this study is to address melodic pitch extraction using features based on the Fourier Transform phase of a signal rather than the conventional Fourier Transform magnitude. As the phase is difficult to process, the modified group delay function is processed to extract pitch. The performance of the proposed algorithm is evaluated on ADC-2004 dataset, LabROSA training set and MIR-1K dataset. The results of the proposed method are comparable to that of existing methods based on the Fourier transform magnitude spectrum.
  • Keywords
    Cepstral analysis; Delays; Feature extraction; Fourier transforms; Multiple signal classification; Music; Speech; Cepstral smoothing; Group delay; Modified group delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (NCC), 2013 National Conference on
  • Conference_Location
    New Delhi, India
  • Print_ISBN
    978-1-4673-5950-4
  • Electronic_ISBN
    978-1-4673-5951-1
  • Type

    conf

  • DOI
    10.1109/NCC.2013.6487986
  • Filename
    6487986