Audio information retrieval using semantic similarity

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

59 Scopus Citations
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Author(s)

  • Luke Barrington
  • Antoni Chan
  • Douglas Turnbull
  • Gert Lanckriet

Detail(s)

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PagesII725-II728
Volume2
Publication statusPublished - 2007
Externally publishedYes

Publication series

Name
Volume2
ISSN (Print)1520-6149

Conference

Title2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PlaceUnited States
CityHonolulu, HI
Period15 - 20 April 2007

Abstract

We improve upon query-by-example for content-based audio information retrieval by ranking items in a database based on semantic similarity, rather than acoustic similarity, to a query example. The retrieval system is based on semantic concept models that are learned from a training data set containing both audio examples and their text captions. Using the concept models, the audio tracks are mapped into a semantic feature space, where each dimension indicates the strength of the semantic concept. Audio retrieval is then based on ranking the database tracks by their similarity to the query in the semantic space. We experiment with both semantic- and acousticbased retrieval systems on a sound effects database and show that the semantic-based system improves retrieval both quantitatively and qualitatively. © 2007 IEEE.

Research Area(s)

  • Audio retrieval, Computer audition, Semantic similarity

Citation Format(s)

Audio information retrieval using semantic similarity. / Barrington, Luke; Chan, Antoni; Turnbull, Douglas et al.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2 2007. p. II725-II728 4217511.

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