A Novel Approach for Text Dependent Speaker Recognition
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 9
Abstract
In recent times, person authentication in security systems using biometric technologies has grown rapidly. The voice is a signal of infinite information. Digital signal processes such as Feature Extraction and Feature Matching are introduced to authenticate person in security system. In this paper comparison of identification rate of combination of Liner Predictive Coding Coefficients (LPCC) and Mel Frequency Cepstral Coefficients (MFCCs) with feature matching techniques like Vector Quantization (VQ) and Gaussian Mixture Models (GMM) is carried out using Matlab Simulation.
Authors and Affiliations
Tejal Chauhan, Hemant Soni, Sameena Zafar
Keywords
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