IJPTT

Speaker Recognition using Gaussian Mixture Model

	International Journal of Computer & Organization Trends  (IJCOT)
	© 2016 by IJCOT Journal
	Volume - 6 Issue - 2
	Year of Publication : 2016
	Authors :  H.AaliyaAmreen, K.KhadarNawas
	DOI : 10.14445/22492593/IJCOT-V33P310

Citation

H.AaliyaAmreen, K.KhadarNawas"Speaker Recognition using Gaussian Mixture Model", International Journal of Computer & organization Trends (IJCOT), V6(2):48-53 Mar - Apr 2016, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract Speaker recognition is a term which is most popular in biometric recognition technique that tends to identify and verify a speaker from his/her speech data. Speaker recognition system uses mechanism to recognize the speaker by using the speaker’s speech signal. It is mainly useful in applications where security is the main and important one. Generally, speech information are recorded though the air microphone and these speech information collected from various speakers are used as input for the speaker recognition system as they are prone to environmental background noise, the performance is enhanced by integrating an additional speech signal collected through a throat microphone along with speech signal collected from standard air microphone. The resulting signal is very similar to normal speech, and is not affected by environmental background noise. This paper is mainly focused on extraction of the Mel frequency Cepstral Coefficients (MFCC) feature from an air speech signal and throat speech signal to built Gaussian Mixture Model(GMM) based closed-set text independent speaker recognition systems and to depict the result based on identification.

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Keywords
Speaker Recognition, GMM, MFCC, Throat Microphone.