Language Detection with GMM Optimization Using Neural Networks
Ali Shadmand, Khalil Monfaredi · 2010
The automatic language recognition of the speech signal consists of algorithms and methods which are used for modeling and classifying different languages. GMM (Gaussian Mixture Model), as a powerful instrument, can be used in classifying feature vectors. Persian language verification system, reported in [1], uses GMM as a basic system for tokenizing and Neural Network as the backend processor. In this paper a "Persian language detection system" is optimized to be used in "language verification system".