Abstract
In the process of speaker recognition, specific algorithm is adopted to classify differentspeakers. In this paper, Multiclass Core Vector Machine (MCVM) is used to the solve speakerrecognition problem. At first, CVM transform quadratic programming of traditional SVM into theMinimum Enclosing Ball (MEB) problem, which significantly reduces the complexity ofcomputation and then, defining an SVM with vector valued output. At last, Experimental results showthat the algorithm is feasible and effective for speaker recognition.
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