Speaker recognition based on EMD

A novel approach of speaker recognition is proposed,which combines empirical mode decomposition(EMD),short-time analysis and supporting vector machines(SVM).Short-time analysis is used for the result of empirical mode decomposition to extract speech features of speakers,and then the supporting vector machines are used for speaker recognition.Experiments demonstrate that the proposed approach outperform GMM based traditional methods,with the increased recognition rate from 92.5% to 95.1%.