4145

3916

كارشناسي ارشد

معماري

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1387

سيزده، 96، [II] ص.: مصور، جدول، نمودار

ص. ع. به فارسي و انگليسي

محمدداورپناه جزي ، رضا بوستاني

20/7/1378

رسول امير فتاحي ، محمدرضا آشوري

1396/03/07

كتابنامه

برق و كامپيوتر

مهندسي برق و كامپيوتر

ID3916

به فارسي و انگليسي : قابل رويت در نسخه هاي ديجيتال

AbstractApplication of biometric identification systems is one of the most trustable ways to control the accessof users to real and virtual spaces The use of unique features such as finger print face iris retina palm voice and signature is common in biometric identification systems Due to ease and speed in thisthesis voice based verification system is studied Speaker verification systems can be used to securethe access of authorized users to places in organizations such as banks and insurance companies refineries and power plants control centers strategic research laboratories and even hospitals also tocontrol the access to information and services from short or long distance Preprocessing and speaker modeling are two essential parts of speaker verification systems in whichpreprocessing consists of feature extraction and feature selection In this thesis Mel frequency cepstralcoefficients are used as feature vectors and Ant Colony Optimization ACO algorithm is used forfeature selection This algorithm has not been used in speaker verification systems so far ThenGaussian Mixture Model GMM is used to model the speakers which is one of the most commonmethods for modeling feature vectors extracted from speech signals The proposed method may be deployed for improving text independent speaker verification usingACO algorithm and GMM for speaker modeling ACO GMM TIMIT data set is used to evaluate thesystem Implementation results on this data set shows that use of this system will improve performanceand decrease decision time of the system

محمدداورپناه جزي ، رضا بوستاني

رسول امير فتاحي ، محمدرضا آشوري