JGGA-FUZZY CLASSIFICATION OF AUDIO SIGNALS

被引：0
|
作者：
Sheng, Long [1 ]
Ma, Xiaoyu [1 ]
机构：
[1] Hebei Univ Engn, Sch Informat Sci & Elect Engn, Handan, Hebei Province, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012) | 2012年
关键词：
Jumping-Genes Genetic algorithm; fuzzy clustering; audio classification; fuzzy models;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we focus on the problem of obtaining a compact and accurate fuzzy rule-base classification method for audio signals. Fuzzy c-Means (FCM) clustering algorithm with Jumping-Gene optimization is applied to the classification tasks. The novel audio classification scheme classifies audio data into speech, music and background sound. A new feature for audio classification is introduced in this paper. Experimental results indicate that the proposed algorithm can produce satisfactory results, especially for music signals.
引用
收藏
页码：289 / 297
页数：9
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