Mathematical Technique Based Speaker Recognition for Total Security System.

S. K. Patel; Dr. J. M Dhodiya; Dr. D. C. Joshi

doi:https://doi.org/10.14445/22315373/IJMTT-V5P530

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 5 | Number 2 | Year 2014 | Article Id. IJMTT-V5P530 | DOI : https://doi.org/10.14445/22315373/IJMTT-V5P530

Mathematical Technique Based Speaker Recognition for Total Security System.

S. K. Patel , Dr. J. M Dhodiya , Dr. D. C. Joshi

Citation :

S. K. Patel , Dr. J. M Dhodiya , Dr. D. C. Joshi, "Mathematical Technique Based Speaker Recognition for Total Security System.," International Journal of Mathematics Trends and Technology (IJMTT), vol. 5, no. 2, pp. 195-201, 2014. Crossref, https://doi.org/10.14445/22315373/IJMTT-V5P530

Abstract

Today security system is rapidly growing and updating simultaneously due to advance of technology. This growth in electronic transactions results in a rise of demand for fast and accurate user identification and authentication system. Total security system solve this problem as a number of parameters like face, speech, fingerprint, palm print etc. are undeniably connected to its owner which verifies quantitative data like E-cards, password and Login ID etc. of human being. This paper discusses Mel frequency Cepstral Coefficient (MFCC) to extract the features from voice and Vector quantization technique to identify the speaker for the speaker’s recognition in MATLAB for TSS.

Keywords

Speaker Recognition, TSS, VQ, MFCC, Biometrics.

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