Speaker Identification Based on GMM with Embedded AANN

In this paper, a modified Gaussian Mixed Model (GMM) with an embedded Auto-Associate Neural Network (AANN) is proposed. It integrates the merits of GMM and AANN. GMM and AANN as a whole are trained by means of Maximum Likelihood (ML). In the process of training, the parameters of GMM and AANN are updated alternately. AANN reshapes the distribution of the data and improves the similarity of the data in one class. Experiments show that the proposed system improves accuracy rate against baseline GMM at all SNR, maximum to 19%.