DocumentCode
3313827
Title
Language Detection with GMM Optimization Using Neural Networks
Author
Shadmand, Ali ; Monfaredi, Khalil
Author_Institution
Electr. Eng. Dept., Islamic Azad Univ., Miyandoab, Iran
Volume
1
fYear
2010
fDate
28-31 May 2010
Firstpage
461
Lastpage
465
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CSO.2010.21
Filename
5533078
Link To Document