TY - GEN
T1 - Text-independent open-set speaker identification for military missions using genetic rule-based system
AU - Oh, Jae C.
AU - Blowers, Misty
N1 - Publisher Copyright:
© 2005 ACM.
PY - 2005
Y1 - 2005
N2 - We present a genetic classifier system approach to the text-independent open-set speaker identification problem. Classifier systems are widely used in symbolic problem for dynamically changing open-ended learning. Signal processing problems require processing of real-valued parameters that classifier systems are not designed for. On the other hand, the approaches based on common cepstral encoding with clustering algorithms handle the closed-set speaker identification quite well. This research solves the open-set problem by hybridizing these two approaches.
AB - We present a genetic classifier system approach to the text-independent open-set speaker identification problem. Classifier systems are widely used in symbolic problem for dynamically changing open-ended learning. Signal processing problems require processing of real-valued parameters that classifier systems are not designed for. On the other hand, the approaches based on common cepstral encoding with clustering algorithms handle the closed-set speaker identification quite well. This research solves the open-set problem by hybridizing these two approaches.
KW - genetic classifier systems
KW - open-set text-independent speaker identification
UR - http://www.scopus.com/inward/record.url?scp=85139468203&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139468203&partnerID=8YFLogxK
U2 - 10.1145/1102256.1102296
DO - 10.1145/1102256.1102296
M3 - Conference contribution
AN - SCOPUS:85139468203
SN - 1595930108
SN - 9781595930101
T3 - GECCO 2005 - Genetic and Evolutionary Computation Conference
SP - 172
EP - 174
BT - GECCO 2005 - Genetic and Evolutionary Computation Conference
PB - Association for Computing Machinery
T2 - GECCO 2005 - Genetic and Evolutionary Computation Conference
Y2 - 25 June 2005 through 29 June 2005
ER -