5. A computing system for authenticating users comprising: a processor; and a memory configured to store data, said computing device being associated with a network and said memory being in communication with said processor and having instructions stored therein which, when read and executed by said processor cause said 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.
5. A computing system for authenticating users comprising: a processor; and a memory configured to store data, said computing device being associated with a network and said memory being in communication with said processor and having instructions stored therein which, when read and executed by said processor cause said 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. 9. A computing system in accordance with claim 5 , wherein the instructions when executed by said processor further cause said computing device to compute a decision score using the hidden Markov model.