A GAUSSIAN MIXTURE MODEL-BASED SPEAKER RECOGNITION SYSTEM


Kumari Piu Gorai, Thomas Abraham

Abstract


A human being has lot of unique features and one of them is voice. Speaker recognition is the use of a system to distinguish and identify a person from his/
her vocal sound. A speaker recognition system (SRS) can be used as one of the authentication technique, in addition to the conventional authentication methods. This paper represents the overview of voice signal characteristics and speaker recognition techniques. It also discusses the advantages and problem of current SRS. The only biometric system that allows users to authenticate remotely is voice-based SRS, we are in the need of a robust SRS.


Keywords


Speaker recognition, Mel-frequency cepstral coefficients, Gaussian mixture model, Support vector machine, Robust speaker recognition system.

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References


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About this article

Title

A GAUSSIAN MIXTURE MODEL-BASED SPEAKER RECOGNITION SYSTEM

Keywords

Speaker recognition, Mel-frequency cepstral coefficients, Gaussian mixture model, Support vector machine, Robust speaker recognition system.

DOI

10.22159/ajpcr.2017.v10s1.19596

Date

01-04-2017

Additional Links

Manuscript Submission

Journal

Asian Journal of Pharmaceutical and Clinical Research
Special Issue April 2017 Page: 140-142

Print ISSN

0974-2441

Online ISSN

2455-3891

Authors & Affiliations

Kumari Piu Gorai
School of Computing Science and Engineering, VIT University, Chennai Campus, Tamil Nadu, India
India

Thomas Abraham
School of Computing Science and Engineering, VIT University, Chennai Campus, Tamil Nadu, India
India


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