• DocumentCode
    2329290
  • Title

    Music Pitch Representation by Periodicity Measures Based on Combined Temporal and Spectral Representations

  • Author

    Peeters, Geoffroy

  • Author_Institution
    Ircam, CNRS, Paris
  • Volume
    5
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    Periodicity estimation of an audio signal, for applications such as pitch, multiple pitch or tempo estimation is often problematic due to the presence of multiple harmonics in the audio signal producing octave errors. While pitch models or rhythm models can be used, they remain often dedicated to a specific problem. In this paper, we propose a straightforward approach for periodicity estimation based on the combination of a spectral representation and a temporal representation. This method allows a better emphasis on the frequencies corresponding to the various pitches. We show the ability of this representation to adequately estimate pitch and visualize signals with multiple pitch content
  • Keywords
    audio signal processing; estimation theory; harmonics; music; signal representation; spectral analysis; audio signal; music pitch representation; periodicity estimation; periodicity measures; pitch estimation; spectral representation; spectral representations; temporal representation; temporal representations; Amplitude estimation; Autocorrelation; Discrete Fourier transforms; Frequency estimation; Gravity; Information analysis; Multiple signal classification; Rhythm; Signal synthesis; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1661210
  • Filename
    1661210