Voice.trust Ag

Christian Pilz

Raja Kuppuswamy

Method for controlling user access to a service available in a data network and/or to information stored in a user database, in order to protect stored user data from unauthorized access, such that the method comprises the following: input of a user's speech sample to a user data terminal, processing of the user's speech sample in order to obtain a prepared speech sample as well as a current voice profile of the user, comparison of the current voice profile with an initial voice profile stored in an authorization database, and output of an access-control signal to either permit or refuse access, taking into account the result of the comparison step, such that the comparison step includes a quantitative similarity evaluation of the current and the stored voice profiles as well as a threshold-value discrimination of a similarity measure thereby derived, and an access-control signal that initiates permission of access is generated only if a prespecified similarity measure is not exceeded.

Method and arrangement for controlling user access

Digital method for authentication of a person by comparing a current voice profile with a previously stored initial voice profile, wherein to determine the relevant voice profile the person speaks at least one speech sample into the system, this speech sample is conveyed to a voice-profile calculation unit and thereby, on the basis of a prespecified voice-profile algorithm, the voice profile is calculated, such that the overall size of the speech sample and/or parameters of its evaluation to determine the relevant voice profile are established dynamically and automatically as the sample is spoken, in response to the result of an evaluation of a first partial speech sample.

Digital method and arrangement for authenticating a person

Example embodiments provide a speaker authentication technology that compensates for mismatches between enrollment process conditions and test process conditions using correction parameters or correction models, which allow for correcting one of the test voice characterizing parameter set and the enrollment voice characterizing parameter set according to a mismatch between the test process conditions and the enrollment process conditions, thereby obtaining values for the test voice characterizing parameter set and the enrollment voice characterizing parameter set that are based on the same or at least similar process conditions. Alternatively, each of the enrollment and test voice characterizing parameter sets may be normalized to predetermined standard process conditions by using the correction parameters or correction models.

Growing community of inventors

Munich, Germany

Christian Pilz