A two-stage audio retrieval method for searching unannotated audio clips

Xu Songhua, Chen Suchao, Y. Yip Kevin, C. M.Lau Francis, Quin Xueying

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Traditional audio retrieval systems deal principally with audio clips having text descriptions. To retrieve unannotated audio clips is cumbersome because of the immaturity of content-based analysis and retrieval techniques. In this paper, we propose a two-stage audio retrieval method, consisting of a first stage of text-based retrieval and a second stage of content-based retrieval. This new retrieval method can be employed to retrieve audio clips from an audio collection having only partial text annotations, which is true of many online audio datasets. We have developed a prototype audio retrieval system based on our algorithm and carefully evaluated its performance. The results demonstrate the effectiveness of our new audio retrieval method. Our method can be generalized and applied to other kinds of non-textual data such as images and videos.

Original languageEnglish (US)
Title of host publicationProceedings - 10th IEEE International Symposium on Multimedia, ISM 2008
Pages334-339
Number of pages6
DOIs
StatePublished - 2008
Event10th IEEE International Symposium on Multimedia, ISM 2008 - Berkeley, CA, United States
Duration: Dec 15 2008Dec 17 2008

Publication series

NameProceedings - 10th IEEE International Symposium on Multimedia, ISM 2008

Other

Other10th IEEE International Symposium on Multimedia, ISM 2008
Country/TerritoryUnited States
CityBerkeley, CA
Period12/15/0812/17/08

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Electrical and Electronic Engineering

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