Speaker recognition - general classifier approaches and data fusion methods

Speaker recognition refers to the concept of recognizing a speaker by his=her voice or speech samples. Some of the important applications of speaker recognition include customer veri cation for bank transactions, access to bank accounts through telephones, control on the use of credit cards, and for security purposes in the army, navy and airforce. This paper is purely a tutorial that presents a review of the classi er based methods used for speaker recognition. Both unsupervised and supervised classi ers are described. In addition, practical approaches that utilize diversity, redundancy and fusion strategies are discussed with the aim of improving performance. ? 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.