• DocumentCode
    714374
  • Title

    Classification of Classic Turkish Music Makams by using Deep Belief Networks

  • Author

    Kizrak, Merve Ayyuce ; Bolat, Bulent

  • Author_Institution
    Elektrik ve Elektron. Muhendisligi Bolumu, Halic Univ., İstanbul, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    527
  • Lastpage
    530
  • Abstract
    Through this work, six most known Classic Turkish Music Makams (CTM) were classified by using Deep Belief Networks (DBN). The Mel and delta-Mel Frequency Cepstral Coefficients (MFCC) were used as features. The best correct recognition ratio was obtained as 92.70% by using Deep Belief Networks and Mel frequency epstral coefficients. This result is better than the recent works reported in the literature.
  • Keywords
    belief networks; cepstral analysis; music; pattern classification; CTM; DBN; MFCC; classic Turkish music Makams classification; deep belief networks; delta-Mel frequency cepstral coefficients; recognition ratio; Conferences; Histograms; Mel frequency cepstral coefficient; Multiple signal classification; Signal processing; Speech; Classic Turkish Music; Deep Belief Networks; Mel Frequency Cepstral Coefficients; Music Information Retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7129877
  • Filename
    7129877
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=714374