Application of LS-SVM in Speaker Recognition

Speaker recognition is regarded as a kind of voice recognition.It is one of the current research hotspots.The support vector machines(SVM) based on ethe statistical learning theory is a new machine learning algorithm as the hotspots of machine learning research.An improved SVM,the least square support vector machines(LS-SVM) is discussed in this paper.The experimental results demonstrate that the LS-SVM-based speaker recognition is less computational complexity and more effient than the SVM-based speaker recognition.Then it has high adaptability for the speaker recognition.