Biometric Authentication: A Machine Learning Approach

9.2. Speaker Recognition

The goal of automatic speaker recognition—Campbell [45] and Furui [109]—is to recognize a speaker from his or her voice. Speaker recognition can generally be divided into two categories: speaker identification and speaker verification. Speaker identification determines the identity of an unknown speaker from a group of known speakers; speaker verification authenticates the identity of a speaker based on his or her own voice. A speaker claiming an identity is called a claimant, and an unregistered speaker pretending to be a registered speaker is called an impostor. An ideal speaker recognition system should not reject registered speakers (false rejections) or accept impostors (false acceptances).

Speaker recognition can ...