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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© 2004 Springer-Verlag Berlin Heidelberg
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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. https://doi.org/10.1007/978-3-540-39900-1_13
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DOI: https://doi.org/10.1007/978-3-540-39900-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20922-5
Online ISBN: 978-3-540-39900-1
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