Generating Models for Text-Dependent Speaker Verification

摘要

In one aspect, a method includes receiving a prompt for use with text-dependent speaker verification; generating a linguistic representation of the prompt, wherein the linguistic representation comprises a sequence of speech units; obtaining a plurality of feature vectors or a plurality of acoustic models; generating a universal background model for the prompt using the plurality of feature vectors or the plurality of acoustic models; receiving audio enrollment data of a first speaker speaking the prompt; and creating a first speaker verification model for the first speaker by adapting the universal background model using the audio enrollment data.