Abstract: SVM have shown its powerful ability to do pattern classification，so people pay more and more attention to it.Furthermore，SVM have proved to be an effective technique for speaker recognition.Recently，a new SVM kernel function GLDS，has shown better performance than conventional SVM kernel.This paper mainly introduces a method WCCN to process the SVM input vectors.And combined with GLDS a method based on WCCN and GLDS is proposed.It can boost the feature-vectors’ differentiability between classes and improve the SVM’s classification performance.This paper employs the method of WCCN combined with GLDS to conduct speaker recognition.Experiments show that WCCN effectively improve SVM system’s classification performance.