Abstract: Recently, speaker verification based on i-vector/PLDA has become the state-of-the-art technique in speaker recognition.For the indefinite time speech, uncertainty of distortion and scaling, when i-vector with length normalization is converted to PLDA model, it affects the recognition rate. In this paper, the normalization of the length of the i-vector on the PLDA model is replaced by the normalization of total variability matrix T, to avoid the poor distortions. Experiments show that the method is similar to the length normalization, some of the results are better than that of the length normalization.

Key words: i-vector/PLDA, normalization of length, matrix T, GMM-UBM