Comparative Analysis of Classifiers for Automatic Language Recognition in Spontaneous Speech

In this paper we consider a language identification system based on the state-of-the-art i-vector method. Paper presents a comparative analysis of different methods for the classification in the i-vector space to determine the most efficient for this task. Experimental results show the reliability of the method based on linear discriminant analysis and naive Bayes classifier which is sufficient for usage in practical applications.