Audio Classification Utilizing a Rule-based approach and the Support Vector Machine Classifier

被引：0
|
作者：
Vavrek, Jozef [1 ]
Juhar, Jozef [1 ]
Cizmar, Anton [1 ]
机构：
[1] Tech Univ Kosice, FEI, Dept Elect & Multimedia Commun, Kosice, Slovakia
来源：
2013 36TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2013年
关键词：
Audio content analysis; audio classification; rule-based discrimination; support vector machine classifier;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The evaluation of two classification architectures utilizing the rule-based approach and the one-against-one support vector machine (OAO-SVM) is presented in this paper. The classification of the audio stream is carried out in two steps. At first, the rule-based speech/non-speech and music/environment sound discrimination is conducted. The set of adopted features, with a high efficiency in separation of speech and music signals, is implemented in order to find the best discriminator. Consequently, speech segments are classified into pure speech, speech with music and speech with env. sound using the OAO-SVM multi-class classification scheme. Experimental results show that the used classification architecture can decrease the classification error in comparison with OAO-SVM by using MFCC features only.
引用
收藏
页码：512 / 516
页数：5
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