1. A speaker verification method comprising: receiving an utterance from a speaker by an audio receiving device; determining a text-independent speaker verification score in response to the utterance using a processor coupled to the audio receiving device to determine the text-independent speaker verification score in response to a speaker-dependent text-independent Gaussian Mixture Model (GMM) of the utterance; determining a text-dependent speaker verification score in response to the utterance using the processor to determine the text-dependent speaker verification score in response to a continuous density Hidden Markov Model (HMM) of the utterance aligned by a Viterbi decoding; determining a Universal Background Model (UBM)-independent speaker-dependent normalized score in response to a relationship between the text-dependent speaker verification score and the text-independent speaker verification score using the processor, the relationship being based on a difference between the text-dependent speaker verification score and the text-independent speaker verification score; and determining speaker verification in response to the UBM-independent speaker-normalized score.
1. A speaker verification method comprising: receiving an utterance from a speaker by an audio receiving device; determining a text-independent speaker verification score in response to the utterance using a processor coupled to the audio receiving device to determine the text-independent speaker verification score in response to a speaker-dependent text-independent Gaussian Mixture Model (GMM) of the utterance; determining a text-dependent speaker verification score in response to the utterance using the processor to determine the text-dependent speaker verification score in response to a continuous density Hidden Markov Model (HMM) of the utterance aligned by a Viterbi decoding; determining a Universal Background Model (UBM)-independent speaker-dependent normalized score in response to a relationship between the text-dependent speaker verification score and the text-independent speaker verification score using the processor, the relationship being based on a difference between the text-dependent speaker verification score and the text-independent speaker verification score; and determining speaker verification in response to the UBM-independent speaker-normalized score. 3. The method in accordance with claim 1 further comprising: determining a first threshold defined in response to a speaker-normalized score minimizing the False Acceptance (PFA); and determining a second threshold defined in response to a text-dependent speaker verification score minimizing the False Rejection (PFR).