Separating Voices in Polyphonic Music: A Contig Mapping Approach

  • Elaine Chew
  • Xiaodan Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3310)

Abstract

Voice separation is a critical component of music information retrieval, music analysis and automated transcription systems. We present a contig mapping approach to voice separation based on perceptual principles. The algorithm runs in O(n2) time, uses only pitch height and event boundaries, and requires no user-defined parameters. The method segments a piece into contigs according to voice count, then reconnects fragments in adjacent contigs using a shortest distance strategy. The order of connection is by distance from maximal voice contigs, where the voice ordering is known. This contig-mapping algorithm has been implemented in VoSA, a Java-based voice separation analyzer software. The algorithm performed well when applied to J. S. Bach’s Two- and Three-Part Inventions and the forty-eight Fugues from the Well-Tempered Clavier. We report an overall average fragment consistency of 99.75%, correct fragment connection rate of 94.50% and average voice consistency of 88.98%, metrics which we propose to measure voice separation performance.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Elaine Chew
    • 1
  • Xiaodan Wu
    • 1
  1. 1.Epstein Department of Industrial and Systems EngineeringUniversity of Southern California, Viterbi School of Engineering, Integrated Media Systems CenterLos AngelesUSA

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