Evolutionary discriminative speaker adaptation

Abstract

This paper presents a new evolutionary-based approach that aims at investigating more solutions while simplifying the speaker adaptation process. In this approach, a single global transformation set of parameters is optimized by genetic algorithms using a discriminative objective function. The goal is to achieve accurate speaker adaptation whatever the amount of available adaptive data. Experiments using the ARPA-RM database demonstrate the effectiveness of the proposed method.