Title :
Language Detection with GMM Optimization Using Neural Networks
Author :
Shadmand, Ali ; Monfaredi, Khalil
Author_Institution :
Electr. Eng. Dept., Islamic Azad Univ., Miyandoab, Iran
Abstract :
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".
Keywords :
Educational institutions; Equations; Feature extraction; Filters; Frequency; Natural languages; Neural networks; Optimization methods; Power system modeling; Speech; Component; GMM; Language Verification; Neural Network; Tokenizer;
Conference_Titel :
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location :
Huangshan, Anhui, China
Print_ISBN :
978-1-4244-6812-6
Electronic_ISBN :
978-1-4244-6813-3
DOI :
10.1109/CSO.2010.21
