Patent Document ID: 9530417
Application ID: 13854134

Base Claim:
1. A method of text independent speaker recognition, comprising: extracting feature vectors from initial frames of speech generated responsive to text-independent speech from a user; clustering the extracted feature vectors to generate a plurality of clusters; modelling each of the plurality of clusters as a Gaussian Mixture Model that collectively form a speaker profile for the user; setting a different-state transition probability and a same-state transition probability for each of the Gaussian Mixture Models, the same-state transition probability having a much greater value than the different-state transition probability; capturing additional frames of speech from additional text-independent speech from a speaker; extracting feature vectors from the additional frames; and determining likelihoods that each of the additional frames belongs to each of the Gaussian Mixture Models based on the same-state and different-state transition probabilities, wherein the determining likelihoods includes, for each additional frame of speech, determining a log likelihood (loglk) variable for each cluster to determine the probability that the additional frame of speech belongs to that particular cluster; and determining whether the speaker is an authorized user from the determined likelihoods.

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Claim 3:
3. The method of claim 1 wherein determining whether the speaker is an authorized user from the determined likelihoods comprises is taken at any point in time by selecting the speaker having the highest value of the loglk variable from among a plurality of loglk variables for a plurality of speakers.