12. A computer program recorded on a non-transitory computer-readable recording medium included in a computing device for generating trustworthy authentication transaction results, the computer program being comprised of instructions, which when read and executed by the computing device, cause the computing device to: calculate signal features for an audio digital signal representing a user utterance, the signal features including onset values, the onset values correspond to stress accents in the signal; split the signal into a prosodic unit candidate sequence based on the stress accent locations; modify the prosodic unit candidate sequence based on the signal features, the modified prosodic unit sequence including only true prosodic units; calculate a first probability that the true prosodic units match a prosodic unit sequence used to create a hidden Markov model for the user; calculate a second probability that the true prosodic units match prosodic unit sequences used to create a Universal Background Model; and successfully authenticate the user when the difference between the first probability and the second probability is greater than a decision threshold.
12. A computer program recorded on a non-transitory computer-readable recording medium included in a computing device for generating trustworthy authentication transaction results, the computer program being comprised of instructions, which when read and executed by the computing device, cause the computing device to: calculate signal features for an audio digital signal representing a user utterance, the signal features including onset values, the onset values correspond to stress accents in the signal; split the signal into a prosodic unit candidate sequence based on the stress accent locations; modify the prosodic unit candidate sequence based on the signal features, the modified prosodic unit sequence including only true prosodic units; calculate a first probability that the true prosodic units match a prosodic unit sequence used to create a hidden Markov model for the user; calculate a second probability that the true prosodic units match prosodic unit sequences used to create a Universal Background Model; and successfully authenticate the user when the difference between the first probability and the second probability is greater than a decision threshold. 14. A computer program in accordance with claim 12 wherein the instructions which when read and executed by the computing device, further cause the computing device to: identify borders, shared by prosodic unit candidates, located in a high level region of the signal; and move the identified borders to a low level energy region of the signal.