Journal of Shanghai University(Natural Science Edition)

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Current Status and Trend of Audio Information Retrieval Research

WAN Wang-gen, CHANG Liao-yu, YU Xiao-qing, CUI Bin, LIU Han
  

  1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
  • Received:2007-03-13 Revised:1900-01-01 Online:2007-08-20 Published:2007-08-20
  • Contact: WAN Wang-gen

Abstract: Audio has become an important digital media transmitted over the network. Retrieval of the audio information from a huge audio database has become an important research topic. From the present situation and the trend in audio information retrieval, we describe and summarize concepts and methods of modern audio information retrieval. Specifically, some key techniques and approaches on contentbased audio information retrieval are discussed.

Key words: audio classification, audio information retrieval
,
audio segmentation, auditory perceptual feature

CLC Number: