presenting a new text-independent speaker verification system based on multi model gmm

نویسندگان

mohammad mosleh

faraz forootan

najmeh hosseinpour

چکیده

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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عنوان ژورنال:
journal of advances in computer research

ناشر: sari branch, islamic azad university

ISSN 2345-606X

دوره 5

شماره 4 2014

میزبانی شده توسط پلتفرم ابری doprax.com

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