AUDIO ANALYSIS FOR CONTENT-BASED RETRIEVAL

Abstract

inquiries musclefish.com Musicians and sound designers could greatly benefit from content-based retrieval, whereby recorded sounds are selected from a database on the basis of desired acoustical or subjective features. This paper describes an audio analysis engine, currently under development, that is designed to help automate the process of sound classification, retrieval, and selection using an audio database.