VOICE RECOGNITION SECURITY SYSTEM USING MEL-FREQUENCY CEPSTRUM COEFFICIENTS

Authors

  • Mahalakshmi P VIT University, Vellore -632 014, India.
  • Muruganandam M
  • Sharmila A

DOI:

https://doi.org/10.22159/ajpcr.2016.v9s3.13633

Abstract

ABSTRACT
Objective: Voice Recognition is a fascinating field spanning several areas of computer science and mathematics. Reliable speaker recognition is a hard
problem, requiring a combination of many techniques; however modern methods have been able to achieve an impressive degree of accuracy. The
objective of this work is to examine various speech and speaker recognition techniques and to apply them to build a simple voice recognition system.
Method: The project is implemented on software which uses different techniques such as Mel frequency Cepstrum Coefficient (MFCC), Vector
Quantization (VQ) which are implemented using MATLAB.
Results: MFCC is used to extract the characteristics from the input speech signal with respect to a particular word uttered by a particular speaker. VQ
codebook is generated by clustering the training feature vectors of each speaker and then stored in the speaker database.
Conclusion: Verification of the speaker is carried out using Euclidian Distance. For voice recognition we implement the MFCC approach using software
platform MatlabR2013b.
Keywords: Mel-frequency cepstrum coefficient, Vector quantization, Voice recognition, Hidden Markov model, Euclidean distance.

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Author Biography

Mahalakshmi P, VIT University, Vellore -632 014, India.

School of Electrical Engineering

References

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Published

01-12-2016

How to Cite

Mahalakshmi P, M. M, and S. A. “VOICE RECOGNITION SECURITY SYSTEM USING MEL-FREQUENCY CEPSTRUM COEFFICIENTS”. Asian Journal of Pharmaceutical and Clinical Research, vol. 9, no. 9, Dec. 2016, pp. 131-8, doi:10.22159/ajpcr.2016.v9s3.13633.

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