Bengt J. Borgström

Bayesian Estimation of Plda with Noisy Training Labels, with Applications to Speaker Verification

This paper proposes a method for Bayesian estimation of probabilistic linear discriminant analysis (PLDA) when training labels are noisy. Label errors can be expected during e.g. large or distributed data collections, or for crowd-sourced data labeling. By interpreting true labels as latent random v…