Indexing and Retrieval of Audio: A Survey

  • Authors:
  • Goujun Lu

  • Affiliations:
  • Gippsland School of Computing and Information Technology, Monash University, Churchill 3842, Australia. guojun.lu@infotech.monash.edu.au

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

With more and more audio being captured and stored, there is a growing need for automatic audio indexing and retrieval techniques that can retrieve relevant audio pieces quickly on demand. This paper provides a comprehensive survey of audio indexing and retrieval techniques. We first describe main audio characteristics and features and discuss techniques for classifying audio into speech and music based on these features. Indexing and retrieval of speech and music is then described separately. Finally, significance of audio in multimedia indexing and retrieval is discussed.