Speaker recognition - General classifier approaches and data fusion methods

TY - JOUR

T1 - Speaker recognition - General classifier approaches and data fusion methods

AU - Ramachandran, Ravi P.

AU - Farrell, Kevin R.

AU - Ramachandran, Roopashri

AU - Mammone, Richard J.

PY - 2002/12

Y1 - 2002/12

N2 - 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 verification 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 classifier based methods used for speaker recognition. Both unsupervised and supervised classifiers are described. In addition, practical approaches that utilize diversity, redundancy and fusion strategies are discussed with the aim of improving performance.

AB - 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 verification 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 classifier based methods used for speaker recognition. Both unsupervised and supervised classifiers are described. In addition, practical approaches that utilize diversity, redundancy and fusion strategies are discussed with the aim of improving performance.

UR - https://www.scopus.com/pages/publications/0036887596

UR - https://www.scopus.com/pages/publications/0036887596#tab=citedBy

U2 - 10.1016/S0031-3203(01)00235-7

DO - 10.1016/S0031-3203(01)00235-7

M3 - Article

SN - 0031-3203

VL - 35

SP - 2801

EP - 2821

JO - Pattern Recognition

JF - Pattern Recognition

IS - 12

ER -