Performance evaluation of mixtures of PLDA and conventional PLDA for a small-set speaker verification system

Abstract

This paper compares the use of signal to noise ratio (SNR)-dependent and SNR-independent mixtures of probabilistic linear discriminant analysis (PLDA) versus conventional PLDA, under multi-noise and multi-SNR conditions for a small-set speaker verification system. Results indicate that conventional PLDA is more robust under multi-SNR conditions. The effect of the testing speech length is also examined and speech signals with a length of 5 seconds were found to achieve acceptable results.