Patent Document ID: 9355636
Application ID: 14027828

Base Claim:
1. A system comprising: a computer-readable memory storing executable instructions; and one or more processors in communication with the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least: obtain audio data regarding an utterance of a user; compute a feature vector for a portion of the audio data; determine a first score indicating that the portion of the audio data corresponds to a first articulatory feature; determine a second score indicating that the portion of audio data corresponds to a second articulatory feature; determine whether the first score exceeds a first threshold associated with at least one of a plurality of acoustic models; determine whether the second score exceeds a second threshold associated with at least one of the plurality of acoustic models; identify an acoustic model of a plurality of acoustic models, wherein the acoustic model is associated with the first articulatory feature and the second articulatory feature, and wherein the first score exceeds the first threshold and the second score exceeds the second threshold; compute, using the acoustic model, a feature vector score for the feature vector; and generate automatic speech recognition results based at least on the feature vector score, wherein the automatic speech recognition results comprise one or more transcriptions corresponding to the utterance.

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Claim 4:
4. The system of claim 1 , wherein the one or more processors are programmed to determine the first score by deriving a parameter from at least the portion of audio data, the parameter reflecting at least one of zero crossings, energy, auto-correlations, or linear-predictive coefficients.