• DocumentCode
    714555
  • Title

    Automatic tonic identification method for Turkish makam music

  • Author

    Atli, Hasan Sercan ; Bozkurt, Baris

  • Author_Institution
    Ses Teknolojileri Bolumu, Bahcesehir Univ., Istanbul, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    1570
  • Lastpage
    1573
  • Abstract
    Tonic is a fundamental concept in makam. As in many world music cultures, tonic frequency varies among performances. Because of this, correct estimation of tonic frequency is important for other computational research problems like tuning analysis, audio-score alignment, automatic transcription etc. In this work, we present a new methodology for automatic tonic estimation of Turkish makam music recordings. New methodology bases on the frequency estimation of the last note in a performance.
  • Keywords
    audio signal processing; music; Turkish makam music recording; audio-score alignment; automatic tonic identification method; automatic transcription; computational research problem; music cultures; tonic frequency estimation; tuning analysis; Estimation; Frequency estimation; Histograms; Multiple signal classification; Music information retrieval; Tuning; Turkish makam music; audio signal processing; music information retrieval; tonic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130148
  • Filename
    7130148