Content-Based Classification, Search, and Retrieval of Audio
نویسندگان
چکیده
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. Erling Wold, Thorn Blum, Douglas Keislar, and James Wheaton Muscle Fish
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ورودعنوان ژورنال:
- IEEE MultiMedia
دوره 3 شماره
صفحات -
تاریخ انتشار 1996