The problem of session variability in text-independent speaker verification has been tackled actively for a few years. The factor analysis approach has been successfully applied for solving the session variablity problem. However, it suffers from a large amount of computational overhead. In this paper, a fast implementation of factor analysis approach with GMM Gaussian pre-selection is proposed. In our method, the EM statistics are calculated only using the Gaussians selected by cluster UBM to improve the speed of estimating factor analysis model. Experimental results on the NIST SRE 2006 evaluation show that the presented approach can provide as much as a 7 to 8x speedup over the baseline factor analysis system with the similar performance.
Bibliographic reference. Liu, Qingsong / Huang, Wei / Xu, Dongxing / Cai, Hongbin / Dai, Beiqian (2010): "A fast implementation of factor analysis for speaker verification", In INTERSPEECH-2010, 1077-1080.