Dynamic texture models of music

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

7 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages1589-1592
Publication statusPublished - 2009
Externally publishedYes

Publication series

Name
ISSN (Print)1520-6149

Conference

Title2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
PlaceTaiwan
CityTaipei
Period19 - 24 April 2009

Abstract

In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to the task of automatic song segmentation. In particular, we cluster sequences of audio feature-vectors, extracted from the song, using a dynamic texture mixture model (DTM). We show that the DTM model can both detect transition boundaries and accurately cluster coherent segments. The similarities between the dynamic textures which define these segments are based on both timbral and rhythmic qualities of the music, indicating that the DTM model simultaneously captures two of the important aspects required for automatic music analysis. ©2009 IEEE.

Research Area(s)

  • Automatic segmentation, Dynamic texture model, Music modeling, Music similarity

Citation Format(s)

Dynamic texture models of music. / Barrington, Luke; Chan, Antoni B.; Lanckriet, Gert.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2009. p. 1589-1592.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review