Speech music discrimination using class-specific features

被引：8
|
作者：
Beierholm, T [1 ]
Baggenstoss, PM [1 ]
机构：
[1] GN ReSound AS, DK-2630 Taastrup, Denmark
来源：
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2 | 2004年
关键词：
D O I：
10.1109/ICPR.2004.1334226
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper the application of the class-specific features approach to classification is demonstrated for the problem of discriminating between speech and music. Feature extraction is class-specific and can therefore be tailored to each class meaning that segment size, model orders and the type of features used can be different for the classes. The performance of the discriminator is evaluated and an example of how classification is possible without training is given.
引用
收藏
页码：379 / 382
页数：4
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