• DocumentCode
    2425212
  • Title

    Music Key Detection for Musical Audio

  • Author

    Zhu, Yongwei ; Kankanhalli, Mohan S. ; Gao, Sheng

  • Author_Institution
    National University of Singapore
  • fYear
    2005
  • fDate
    12-14 Jan. 2005
  • Firstpage
    30
  • Lastpage
    37
  • Abstract
    The key or the scale information of a piece of music provides important clues on its high level musical content, like harmonic and melodic context, which can be useful for music classification, retrieval or further content analysis. Researchers have previously addressed the issue of finding the key for symbolically encoded music (MIDI); however, very little work has been done on key detection for acoustic music. In this paper, we present a method for estimating the root of diatonic scale and the key directly from acoustic signals (waveform) of popular and classical music. We propose a method to extract pitch profile features from the audio signal, which characterizes the tone distribution in the music. The diatonic scale root and key are estimated based on the extracted pitch profile by using a tone clustering algorithm and utilizing the tone structure of keys. Experiments on 72 music pieces have been conducted to evaluate the proposed techniques. The success rate of scale root detection for pop music pieces is above 90%.
  • Keywords
    key detection; music information retrieval; Acoustic signal detection; Acoustic waves; Content based retrieval; Data mining; Feature extraction; Harmonic analysis; Information analysis; Instruments; Multiple signal classification; Music information retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Modelling Conference, 2005. MMM 2005. Proceedings of the 11th International
  • ISSN
    1550-5502
  • Print_ISBN
    0-7695-2164-9
  • Type

    conf

  • DOI
    10.1109/MMMC.2005.56
  • Filename
    1385971