August 2001
Intermediate to advanced
700 pages
53h 4m
English
Content preview from Readings in Multimedia Computing and Networking
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Content-Based Classification, Search, and Retrieval of Audio
Erling Wold, Thom Blum, Douglas Keislar, James Wheaton and Muscle Fish
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.
The rapid increase in speed and capacity of computers and networks has allowed the inclusion of ...
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