关键词: 说话人识别, 深度神经网络, i-vector

Abstract: This paper presents a method of combining Deep Neural Network（DNN） regression model with i-vector/Probabilistic Linear Discriminant Analysis（PLDA） speaker recognition system. By fitting the nonlinear function relationship between the noisy and the clean speech i-vector using DNN, the approximate representation of the clean speech i-vector can be obtained to achieve the purpose of reducing the influence of the noise on the system performance. The feasibility and effectiveness of the proposed method are verified by the experiments on TIMIT data set.

Key words: speaker recognition, Deep Neural Network（DNN）, i-vector