Enhancing sonic browsing using audio information retrieval
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Collections of sound and music of increasing size and diversity are used both by typical computer users and multimedia designers. Browsing audio collections poses several challenges to the design of effective user interfaces. Recent techniques in audio information retrieval allow the automatic extraction of audio content information. This information can be used to inform and enhance audio browsing tools. In this paper we describe how audio information retrieval can be utilized to create novel user interfaces for browsing of audio collections. More specifically we report on recent work on two system prototypes: the Sonic Browser and Marsyas and our current work on merging the two systems in a common flexible system.