A text independent speaker recognition system based on hard-limited ei
gnfunctions derived from the Karhunen-Loeve transform is proposed. Two
databases, each with 100 Mandarin speakers, are collected for system
evaluation. It is demonstrated that > 94% correct classification rates
can be achieved by the use of the first 32 hard-limited features.