Abstract: A method of speaker authentication comprises: receiving a speech signal; dividing the speech signal into segments; and, following each segment, obtaining an authentication score based on said segment and previously received segments, wherein the authentication score represents a probability that the speech signal comes from a specific registered speaker. In response to an authentication request, an authentication result is output based on the authentication score.

Abstract: A biometric system is tested to see whether a proposed use matches a configuration of the system. An enrolment input is received from an enrolling user, and compared with a system configuration model to obtain a configuration matching score value. The enrollment is then controlled based on a result of comparing the received enrollment input with the system configuration model. In the case of a voice biometric system, when a test input is received from a speaker, it is determined whether audio conditions applying to the test input correspond to system configuration conditions. Verification is performed by comparing the test input with a model of the speech of an enrolled user to generate a verification score for use in deciding whether to accept or reject the speaker, depending on whether it is determined that audio conditions applying to the test input correspond to the system configuration conditions.

Abstract: A method of speaker identification comprises receiving a speech signal and dividing the speech signal into segments. Following each segment, a plurality of features are extracted from a most recently received segment, and scoring information is derived from the extracted features of the most recently received segment. The scoring information derived from the extracted features of the most recently received segment is combined with previously stored scoring information derived from the extracted features of any previously received segment. The new combined scoring information is stored, and an identification score is calculated using the combined scoring information.

Abstract: A biometric system is tested to see whether a proposed use matches a configuration of the system. An enrolment input is received from an enrolling user, and compared with a system configuration model to obtain a configuration matching score value. The enrolment is then controlled based on a result of comparing the received enrolment input with the system configuration model. In the case of a voice biometric system, when a test input is received from a speaker, it is determined whether audio conditions applying to the test input correspond to system configuration conditions. Verification is performed by comparing the test input with a model of the speech of an enrolled user to generate a verification score for use in deciding whether to accept or reject the speaker, depending on whether it is determined that audio conditions applying to the test input correspond to the system configuration conditions.

Abstract: A received signal represents a user's speech. A first speaker recognition process is performed on a first portion of the received signal, to obtain a first output result. A second speaker recognition process is performed on a second portion of the received signal that is different from the first portion of the received signal, to obtain a second output result. The second speaker recognition process is different from the first speaker recognition process. The first and second output results are combined to obtain a combined output result indicating a likelihood that the user is a registered user.

Abstract: A method for use in speaker verification, comprises: receiving a sample of a person's speech; estimating a noise measure in the received sample of the person's speech; if the estimated noise measure does not meet a predetermined criterion, rejecting the received sample of the person's speech; and if the estimated noise measure meets the predetermined criterion: adding noise to the received sample to form a sample with increased noise; extracting features of the sample with increased noise; and forming a model of the person's speech from the extracted features.

Abstract: A method for use in speaker verification, comprises: receiving a sample of a person's speech; estimating a noise measure in the received sample of the person's speech; if the estimated noise measure does not meet a predetermined criterion, rejecting the received sample of the person's speech; and if the estimated noise measure meets the predetermined criterion: adding noise to the received sample to form a sample with increased noise; extracting features of the sample with increased noise; and forming a model of the person's speech from the extracted features.

Abstract: A received signal represents a user's speech. A first speaker recognition process is performed on a first portion of the received signal, to obtain a first output result. A second speaker recognition process is performed on a second portion of the received signal that is different from the first portion of the received signal, to obtain a second output result. The second speaker recognition process is different from the first speaker recognition process. The first and second output results are combined to obtain a combined output result indicating a likelihood that the user is a registered user.

Abstract: A received signal represents a user's speech. A first speaker recognition process is performed on a first portion of the received signal, to obtain a first output result. A second speaker recognition process is performed on a second portion of the received signal that is different from the first portion of the received signal, to obtain a second output result. The second speaker recognition process is different from the first speaker recognition process. The first and second output results are combined to obtain a combined output result indicating a likelihood that the user is a registered user.

Abstract: A method of speaker authentication comprises: receiving a speech signal; dividing the speech signal into segments; and, following each segment, obtaining an authentication score based on said segment and previously received segments, wherein the authentication score represents a probability that the speech signal comes from a specific registered speaker. In response to an authentication request, an authentication result is output based on the authentication score.

Abstract: A method of speaker identification comprises receiving a speech signal and dividing the speech signal into segments. Following each segment, a plurality of features are extracted from a most recently received segment, and scoring information is derived from the extracted features of the most recently received segment. The scoring information derived from the extracted features of the most recently received segment is combined with previously stored scoring information derived from the extracted features of any previously received segment. The new combined scoring information is stored, and an identification score is calculated using the combined scoring information.

Abstract: A received signal represents a user's speech. A first speaker recognition process is performed on a first portion of the received signal, to obtain a first output result. A second speaker recognition process is performed on a second portion of the received signal that is different from the first portion of the received signal, to obtain a second output result. The second speaker recognition process is different from the first speaker recognition process. The first and second output results are combined to obtain a combined output result indicating a likelihood that the user is a registered user.