Noise-robust speech recognition by discriminative adaptation in parallel model combination

Abstract

A discriminative adaptation method for parallel model combination (PMC) is proposed. For the adaptation, a modified version of PMC is adopted and the association factor defined in this variant is discriminatively adapted based on the generalised probabilistic descent (GPD) method. The proposed method is shown to be very effective at improving the recognition performances under extreme noise conditions with a small amount of adaptation data.