Comparison of MFCC and LPCC for a fixed phrase speaker verification system, time complexity and failure analysis

Abstract

This paper reports some of the observations perceived on uncontrolled environment database for comparison of the Mel Frequency Cepstral Coefficients(MFCC) and Linear Predictive Cepstral Coefficients (LPCC) for development of a robust fixed phrase speaker verification system. MFCC are Cepstral coefficients computed on a warped frequency scale based on known human auditory perception whereas LPCC are Cepstral coefficients that represents the human articulatory system based on linear prediction. This paper compares the accuracy level of both the systems based on MFCC and LPCC, also it compares the systems from an equal error rate point of view (EER). The result suggests that LPCC performs more accurately as compared to that of MFCC by 2.59% for authenticating a speaker. The study also suggests that on basis average time required for giving a decision, MFCC outperforms LPCC significantly by 3.73 sec. Furthermore, the paper includes an analysis for the failure of the system on some of the tests which are not correctly detected as genuine or imposter.