• DocumentCode
    698609
  • Title

    Segmentation of pitch tracks for melody detection in polyphonic audio

  • Author

    Paiva, R.P. ; Mendes, T. ; Cardoso, A.

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Coimbra, Coimbra, Portugal
  • fYear
    2005
  • fDate
    4-8 Sept. 2005
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We propose a method for segmentation of pitch tracks for melody detection in polyphonic musical signals. This is an important issue for melody-based music information retrieval, as well as melody transcription. Past work in the field addressed especially the issue of extracting melodic pitch lines, without explicit definition of notes. Thus, in this work, we propose a two-stage segmentation of pitch tracks for the determination of musical notes. In the first stage, frequency-based segmentation is conducted with recourse to frequency variations in pitch tracks. In the second phase, salience-based segmentation is performed in order to split consecutive notes with equal value, using pitch salience minima and note onsets.
  • Keywords
    audio signal processing; signal detection; target tracking; frequency-based segmentation; melodic pitch line extraction; melody transcription; melody-based music information retrieval; pitch salience minima; polyphonic audio melody detection; polyphonic musical signal detection; salience-based segmentation; two-stage pitch track segmentation; Band-pass filters; Frequency modulation; Function approximation; Indexes; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2005 13th European
  • Conference_Location
    Antalya
  • Print_ISBN
    978-160-4238-21-1
  • Type

    conf

  • Filename
    7078201