Information theory concepts applied to the analysis of rhythm in recorded music with recurrent rhythmic patterns
Martín Rocamora, Pablo Cancela, Luiz W. P. Biscainho
Journal of the AES, Volume 67, Number 4, page 160--173- Apr. 2019
Research group(s):  Procesamiento de Audio (gpa)
Department(s):  Procesamiento de Señales
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This paper proposes a novel approach for rhythmic analysis of recorded percussion music based on information theory. Given an audio recording of a percussion music performance, the algorithm computes a lossy representation that captures much of its underlying regularity but tolerates some amount of distortion. Within a rate-distortion theory framework, the trade-off between rate and distortion allows for the extraction of some relevant information about the performance. Downbeat detection is addressed using lossy coding of an accentuation feature under rate-distortion criteria assuming the correct alignment produces the simplest explanation for the data. Experiments were conducted in order to assess the usefulness of the proposed approach when applied to a dataset of candombe drumming audio recordings. In particular, different performances were compared according to a measure of their overall complexity drawn from the operational rate-distortion curve, yielding results that roughly correspond to subjective judgment and correlate well with personal style and expertise

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