An information set-based robust text-independent speaker authentication

Medikonda, Jeevan and Bhardwaj, Saurabh and Madasu, Hanmandlu (2020) An information set-based robust text-independent speaker authentication. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24. pp. 5271-5287. ISSN 1433-7479

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Abstract

This paper presents a method for the extraction of twofold information set (TFIS) features for the text-independent speaker recognition. The method takes the Mel frequency cepstral coefficients from the frames of a sample speech signal and forms a matrix. From this, both spatial and temporal information components are derived based on the information set concept using the entropy framework. The TFIS features comprising their combination of two components are less in number thus reducing the computational time, complexity and improving the performance under the noisy environment. The proposed approach is tested on three datasets namely NIST-2003, VoxForge 2014 speech corpus and VCTK speech corpus in terms of speed, computational complexity, memory requirement and accuracy. Its performance is validated under different noisy environments at different signal-to-noise ratios.

Item Type: Article
Uncontrolled Keywords: Text-independent speaker recognition Information set theory Twofold information set features
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Electrical and Electronics
Depositing User: MIT Library
Date Deposited: 27 Jun 2020 10:23
Last Modified: 27 Jun 2020 10:23
URI: http://eprints.manipal.edu/id/eprint/155358

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