Regularized Within-Class Precision Matrix Based PLDA in Text-Dependent Speaker Verification
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10186571
Abstract: In the field of speaker verification, probabilistic linear discriminant analysis (PLDA) is the dominant method for back-end scoring. To estimate the PLDA model, the between-class covariance and within-class precision matrices must be estimated from samples.… read more here.
Keywords: within class; precision matrix; class precision; speaker verification ... See more keywords