Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation

被引：0
|
作者：
Davy, M [1 ]
Godsill, S [1 ]
机构：
[1] CNRS, IRCCyN, UMR 6597, F-44321 Nantes 3, France
来源：
2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, we introduce an hybrid time-firequency/support vector machine algorithm for the detection of abrupt spectral changes. A stationarity index is derived from support vector novelty detection theory by using sub-images extracted from the time-frequency plane as feature vectors. Simulations show the efficiency of this new algorithm for audio signal segmentation, compared to another nonparametric detector.
引用
收藏
页码：1313 / 1316
页数：4
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