Speaker verification through large vocabulary continuous speech recognition

Abstract

The authors present a study of a speaker verification system for telephone data based on large-vocabulary speech recognition. After describing the recognition engine, they give details of the verification algorithm and draw comparisons with other systems. The system has been tested on a test set taken from the Switchboard corpus of conversational telephone speech, and they present results showing how performance varies with length of test utterance, and whether or not the training data has been transcribed. The dominant factor in performance appears to be channel or handset mismatch between training and testing data.