Title :
Content-based classification, search, and retrieval of audio
Author :
Wold, Erling ; Blum, Thom ; Keislar, Douglas ; Wheaten, J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
Many audio and multimedia applications would benefit from the ability to classify and search for audio based on its characteristics. The audio analysis, search, and classification engine described here reduces sounds to perceptual and acoustical features. This lets users search or retrieve sounds by any one feature or a combination of them, by specifying previously learned classes based on these features, or by selecting or entering reference sounds and asking the engine to retrieve similar or dissimilar sounds
Keywords :
classification; information retrieval; multimedia computing; multimedia systems; audio; classification; content-based; multimedia; retrieval; search; Computer networks; Content based retrieval; Instruments; Libraries; Marine animals; Muscles; Psychology; Search engines; Speech; Timbre;
Journal_Title :
MultiMedia, IEEE