Pitch-frequency histogram-based music information retrieval for Turkish music

Gedik A. C., Bozkurt B.

SIGNAL PROCESSING, cilt.90, sa.4, ss.1049-1063, 2010 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 90 Sayı: 4
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1016/j.sigpro.2009.06.017
  • Dergi Adı: SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.1049-1063
  • Anahtar Kelimeler: Music information retrieval, Turkish music, Non-western music, Western music, Automatic tonic detection, Automatic makam recognition, NONWESTERN TRADITIONS, FEATURE-EXTRACTION, AUDIO, TRANSCRIPTION, RECORDINGS, WESTERN
  • Dokuz Eylül Üniversitesi Adresli: Hayır

Özet

This study reviews the use of pitch histograms in music information retrieval studies for western and non-western music. The problems in applying the pitch-class histogram-based methods developed for western music to non-western music and specifically to Turkish music are discussed in detail. The main problems are the assumptions used to reduce the dimension of the pitch histogram space, such as, mapping to a low and fixed dimensional pitch-class space, the hard-coded use of western music theory, the use of the standard diapason (A4 = 440 Hz), analysis based on tonality and tempered tuning. We argue that it is more appropriate to use higher dimensional pitch-frequency histograms without such assumptions for Turkish music. We show in two applications, automatic tonic detection and makam recognition, that high dimensional pitch-frequency histogram representations can be successfully used in Music Information Retrieval (MIR) applications without such pre-assumptions, using the data-driven models. (C) 2009 Elsevier B.V. All rights reserved.