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Representing Musical Patterns via the Rhythmic Style Histogram Feature

Published: 03 November 2014 Publication History

Abstract

When listening to music, humans often focus on melodic and rhythmic elements to identify specific songs or genres. While these representations may be quite simple, they still capture and differentiate higher level aspects of music such as expressive intent and musical style. In this work we seek to extract and represent rhythmic patterns from a polyphonic corpus of audio encompassing a number of styles. A compact feature is designed that probabilistically models rhythmic activations within musical beat divisions through histograms of Inter-Onset-Intervals (IOI). Onset detection functions are calculated from multiple frequency bands of a perceptually motivated filter bank. This allows for patterns of lower pitched and higher pitched onsets to be described separately. Through a set of supervised and unsupervised experiments, we show that this feature is well suited for a variety of tasks in which quantifying rhythmic style is necessary.

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Cited By

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  • (2015)Descriptors for Perception of Quality in Jazz Piano ImprovisationProceedings of the international conference on New Interfaces for Musical Expression10.5555/2993778.2993861(327-328)Online publication date: 30-May-2015
  • (2015)Modeling musical rhythmatscale with the music Genome project2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)10.1109/WASPAA.2015.7336891(1-5)Online publication date: Oct-2015

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  1. Representing Musical Patterns via the Rhythmic Style Histogram Feature

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      cover image ACM Conferences
      MM '14: Proceedings of the 22nd ACM international conference on Multimedia
      November 2014
      1310 pages
      ISBN:9781450330633
      DOI:10.1145/2647868
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 03 November 2014

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      Author Tags

      1. expression
      2. music-information retrieval
      3. rhythmic style

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      MM '14: 2014 ACM Multimedia Conference
      November 3 - 7, 2014
      Florida, Orlando, USA

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      MM '14 Paper Acceptance Rate 55 of 286 submissions, 19%;
      Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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      Cited By

      View all
      • (2015)Descriptors for Perception of Quality in Jazz Piano ImprovisationProceedings of the international conference on New Interfaces for Musical Expression10.5555/2993778.2993861(327-328)Online publication date: 30-May-2015
      • (2015)Modeling musical rhythmatscale with the music Genome project2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)10.1109/WASPAA.2015.7336891(1-5)Online publication date: Oct-2015

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