Abstract: KLT in feature extraction of text independent speaker identification needs huge computation load.To solve this problem,KLT is combined with overlap sub-frame for speaker identification in an additive noise environment.Based on a separation of overlap sub-frames,an effective technique is proposed to take the advantage of KLT.Experiments show that computation is reduced considerably.In the traditional MCE method,K-1decision functions must be obtained for each classification error.With K increased,the computation load becomes prohibitive.A modified MCE model is described to alleviate the problem.Comparisons with GMM have been done,showing considerable improvement of the identification rate with KLT/MMCE.Especially when the hybrid number is up to 128,the system identification rate reaches 98.5%.This indicates effectiveness of the proposed method.