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

页码：289 / 297

页数：9

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