Neural Network Based Speaker Verification using GFCC

Authors

  • Kaur S Dept.of CSE, BBSBEC Fatehgarh Sahib, Punjab Technical University,India
  • Dhindsa KS Dept.of CSE, BBSBEC Fatehgarh Sahib, Punjab Technical University,India

Keywords:

Gaussian Mixture Model, Finite Impulse Response, Artificial Neural Network, Gaussian

Abstract

Speaker confirmation is feasible method of controlling access to computer and communication networks. Speakers resonance is different due to physiological differences such as vocal tract size, larynx size and other voice produce organs, and speaking manner differences such as accent and often used words. The task of automatic speaker identification is to identify the underlying speaker or confirm the claimed speaker from a sound recording, by exploiting these differences. This paper introduce the important concepts of speaker confirmation for security system.

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Published

2025-11-11

How to Cite

[1]
S. Kaur and K. S. Dhindsa, “Neural Network Based Speaker Verification using GFCC”, Int. J. Comp. Sci. Eng., vol. 3, no. 11, pp. 63–65, Nov. 2025.

Issue

Vol. 3 No. 11 (2015): IJCSE November Edition

Section

Research Article

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