Título:
Information theory concepts applied to the analysis of rhythm in recorded music with recurrent rhythmic patterns.
Otros títulos:
Coordinador:
Director:
Compilador:
Autor:
Rocamora, Martín
Cancela, Pablo
Biscainho, Luiz W. P.
Cancela, Pablo
Biscainho, Luiz W. P.
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Audio signal processing
Music information retrieval
Information theory
Music information retrieval
Information theory
Descriptores:
Año de publicación:
2019
Contenido:
Resumen:
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
Descripción:
metadata.articulos.dc.description.uri:
Editorial:
AES
EN:
Journal of the AES, vol. 67, no. 4, apr. 2019, pp. 160-173.
Financiadores:
Este trabajo fue financiado en parte por las agencias de financiación CAPES y CNPq (Brasil), ANII y CSIC (Uruguay).
Citación:
Rocamora, M., Cancela, P. y Biscainho, L. "Information theory concepts applied to the analysis of rhythm in recorded music with recurrent rhythmic patterns". Journal of the AES. [en línea]. 2019, vol. 67, no. 4, pp. 160-173.
Citación:
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ISBN:
e-ISBN:
ISSN:
1549-4950
ISMN:
Otros identificadores:
Cobertura geográfica:
Cobertura temporal:
Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Procesamiento de Audio (GPA)
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| RCB19.pdf | Versión enviada | 3.02 MB | Adobe PDF |