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Information Journal Paper

Title

PRESENTING A NEW TEXT-INDEPENDENT SPEAKER VERIFICATION SYSTEM BASED ON MULTI MODEL GMM

Pages

  67-78

Keywords

GAUSSIAN MIXTURE MODEL (GMM) 
SUPPORT VECTOR MACHINE (SVM) 
DECISION TREES (DT) 

Abstract

 Speaker verification is the process of accepting or rejecting claimed identity in terms of its sound features. A SPEAKER VERIFICATION system can be used for numerous security systems, including bank account accessing, getting to security points, criminology and etc. When a SPEAKER VERIFICATION system wants to check the identity of individuals remotely, it confronts problems such as noise effect on speech signal and also identity falsification with speech synthesis. In this system, we have proposed a new SPEAKER VERIFICATION system based on Multi Model GMM, called SV-MMGMM, in which all speakers are divided into seven different age groups, and then an isolated GMM model for each group is created; instead of one model for all speakers. In order to evaluate, the proposed method has been compared with several SPEAKER VERIFICATION systems based on Naïve, SVM, Random Forest, Ensemble and basic GMM. Experimental results show that the proposed method has so better efficiency than others.

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    Cite

    APA: Copy

    MOSLEH, MOHAMMAD, FOROOTAN, FARAZ, & HOSSEINPOUR, NAJMEH. (2014). PRESENTING A NEW TEXT-INDEPENDENT SPEAKER VERIFICATION SYSTEM BASED ON MULTI MODEL GMM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 5(4 (18)), 67-78. SID. https://sid.ir/paper/328772/en

    Vancouver: Copy

    MOSLEH MOHAMMAD, FOROOTAN FARAZ, HOSSEINPOUR NAJMEH. PRESENTING A NEW TEXT-INDEPENDENT SPEAKER VERIFICATION SYSTEM BASED ON MULTI MODEL GMM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2014;5(4 (18)):67-78. Available from: https://sid.ir/paper/328772/en

    IEEE: Copy

    MOHAMMAD MOSLEH, FARAZ FOROOTAN, and NAJMEH HOSSEINPOUR, “PRESENTING A NEW TEXT-INDEPENDENT SPEAKER VERIFICATION SYSTEM BASED ON MULTI MODEL GMM,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 5, no. 4 (18), pp. 67–78, 2014, [Online]. Available: https://sid.ir/paper/328772/en

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