• DocumentCode
    2802139
  • Title

    Beat estimation on the beat

  • Author

    Jensen, Kristoffer ; Andersen, Tue Haste

  • Author_Institution
    Dept. of Comput. Sci., Copenhagen Univ., Denmark
  • fYear
    2003
  • fDate
    19-22 Oct. 2003
  • Firstpage
    87
  • Lastpage
    90
  • Abstract
    The paper presents a novel method for the estimation of beat interval, and the exact location of the beats, from audio files. As a first step, a feature extracted from the waveform is used to identify note onsets. The estimated note onsets are used as input to a beat induction algorithm, where the most probable beat intervals are found. The note onsets corresponding to the beat locations are then identified. Several enhancements are proposed, including methods for identifying the optimum audio feature, a novel weighting system in the beat induction algorithm and a simple robust method for identifying the beat locations. The resulting system runs in real-time, and is shown to work well for a wide variety of contemporary and popular rhythmic music.
  • Keywords
    audio signal processing; feature extraction; music; parameter estimation; audio feature extraction; audio files; beat induction algorithm; beat interval estimation; beat location estimation; note onset; Acoustic measurements; Band pass filters; Computer science; Feature extraction; Frequency estimation; Histograms; Humans; Music; Real time systems; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Signal Processing to Audio and Acoustics, 2003 IEEE Workshop on.
  • Print_ISBN
    0-7803-7850-4
  • Type

    conf

  • DOI
    10.1109/ASPAA.2003.1285826
  • Filename
    1285826