Automatic Extraction of Approximate Repetitions in Polyphonic Midi Files Based on Perceptive Criteria

  • Benoit Meudic
  • Emmanuel St-James
Conference paper

DOI: 10.1007/978-3-540-39900-1_13

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2771)
Cite this paper as:
Meudic B., St-James E. (2004) Automatic Extraction of Approximate Repetitions in Polyphonic Midi Files Based on Perceptive Criteria. In: Wiil U.K. (eds) Computer Music Modeling and Retrieval. CMMR 2003. Lecture Notes in Computer Science, vol 2771. Springer, Berlin, Heidelberg

Abstract

In the context of musical analysis, we propose an algorithm that automatically induces patterns from polyphonies. We define patterns as “perceptible repetitions in a musical piece”. The algorithm that measures the repetitions relies on some general perceptive notions: it is non-linear, non-symetric and non-transitive. The model can analyse any music of any genre that contains a beat. The analysis is performed into three stages. First, we quantize a MIDI sequence and we segment the music in “beat segments”. Then, we compute a similarity matrix from the segmented sequence. The measure of similarity relies on features such as rhythm, contour and pitch intervals. Last, a bottom-up approach is proposed for extracting patterns from the similarity matrix. The algorithm was tested on several pieces of music, and some examples will be presented in this paper.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Benoit Meudic
    • 1
  • Emmanuel St-James
    • 2
  1. 1.Musical representation team – IRCAMParisFrance
  2. 2.LIP6/SRCUniversité Pierre et Marie CurieParisFrance

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