Content-based classification, search, and retrieval of audio

被引：420
|
作者：
Wold, E
Blum, T
Keislar, D
Wheaton, J
机构：
[1] University of California, Berkeley, CA
[2] Muscle Fish LL, Berkeley, CA 9471
来源：
IEEE MULTIMEDIA | 1996年 / 3卷 / 03期
关键词：
Engines;
D O I：
10.1109/93.556537
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：27 / 36
页数：10
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