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Usage of DNN in Speaker Recognition: Advantages and Problems

2016; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-40663-3_10

1611-3349

Oleg Kudashev, Sergey Novoselov, Timur Pekhovsky, Konstantin Simonchik, Galina Lavrentyeva,

Neural Networks and Applications

In this paper we consider different approaches of artificial neural networks application for speaker recognition task. We investigated the performance of DNN application at different levels of speaker recognition system: i-vector extraction level and model Back-End level. Results of our study perform high efficiency of the proposed neural network based approaches for solving this problem. It is shown that the use of DNN technology at different levels increases the reliability of speaker recognition system independently. However, there are some disadvantages of such systems, which are also described in this paper.