Abstract: A method for setting the false acceptance (FA) rate of an individual voiceprint used for enrolling a user with a voice biometric authentication system, the individual voiceprint derived from a Universal Background Model (UBM) selected by the system, the method comprising: (a) selecting a cohort of impostor voice files containing voice samples spoken by persons other than the enrolling user; (b) determining one or more acoustic feature files for each voice file in the selected cohort of impostor voice files; (c) determining, for each acoustic feature files, the top n GMM mixture components for the selected Universal Background Model (UBM); (d) scoring the acoustic features against only the corresponding top n mixture components in the individual voiceprint to generate a distribution of impostor scores; and (e) setting the FA rate for the individual voiceprint based on the resultant distribution.

Abstract: The present invention relates to a method of providing voice recognition. The method comprises the steps of receiving a packetised voice data of a person to be identified over a packet-switched network, comparing the voice data with a stored voice data of a user and, based on the comparison, providing an indication of the likelihood that the person to be identified is the user, wherein the step of receiving the voice data comprises waiting for sufficient voice data to be received.

Abstract: A method for maintaining a voiceprint utilizable to authenticate a user comprises associating a trainable universal background model with the user. A voiceprint for the user is generated utilizing the trainable universal background model and at least one enrollment voice sample provided by the user. The trainable universal background model is subsequently trained with additional voice samples provided by the user post enrollment that satisfy predefined adaptation criteria. The voiceprint is regenerated responsive to a change to the trainable universal background model.

Abstract: A method for configuring a voice authentication system employing at least one authentication engine comprises utilizing the at least one authentication engine to systematically compare a plurality of impostor voice sample against a voice sample of a legitimate person to derive respective authentication scores. The resultant authentication scores are analyzed to determine a measure of confidence for the voice authentication system.

Abstract: A method for configuring a voice authentication system comprises ascertaining a measure of confidence associated with a voice sample enrolled with the authentication system. The measure of confidence is derived through simulated impostor testing carried out on the enrolled sample.

Abstract: A method for enrolling a user with a voice authentication system comprises obtaining a voice sample which has been used to authenticate a user using a first authentication process. The voice sample is subsequently utilised to enroll the user with an authentication system implementing a second authentication process.

Abstract: A method for configuring a voice authentication system comprises ascertaining a measure of confidence associated with a voice sample enrolled with the authentication system. The measure of confidence is derived through simulated impostor testing carried out on the enrolled sample.