Automatic Speaker Recognition Using Statistical Models.
William J. Roberts · 1998
Abstract : In this report we describe the automatic identification of speakers from their voices. This process has application in forensics and in voice actuated security systems. The implementation and theoretic underpinnings of a statistical based speaker recognition system are presented in addition to the performance of the system on standard speech corpora. In a speaker verification experiment, the system yielded an equal error rate of under 5% when identical microphones are used for testing and training.