Deep learning methods in speaker recognition: a review

This paper summarizes the applied deep learning practices in the field of speaker recognition, both verification and identification. Speaker recognition has been a widely used field topic of speech technolog y. Many research works have been carried out and little progress has been achieved in the past 5 - 6 years. However, as deep learning techniques do advance in most machine learning fields, the former state - of - the - art methods are getting replaced by them in s peaker recognition too. It seems that DL becomes the now state - of - the - art solution for both speaker verification and identification. The standard x - vectors, additional to i - vectors, are used as baseline in most of the novel works. The increasing amount of gathered data opens up the territory to DL, where they are the most effective.