System and method for speech recognition modeling for mobile voice search
AssigneeAT&T Intellectual Property I, L.P.
InventorsEnrico BOCCHIERI, Diamantino Antonio Caseiro, Dimitrios Dimitriadis
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AssigneeAT&T Intellectual Property I, L.P.
InventorsEnrico BOCCHIERI, Diamantino Antonio Caseiro, Dimitrios Dimitriadis
Estimating the term…
Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating an acoustic model for use in speech recognition. A system configured to practice the method first receives training data and identifies non-contextual lexical-level features in the training data. Then the system infers sentence-level features from the training data and generates a set of decision trees by node-splitting based on the non-contextual lexical-level features and the sentence-level features. The system decorrelates training vectors, based on the training data, for each decision tree in the set of decision trees to approximate full-covariance Gaussian models, and then can train an acoustic model for use in speech recognition based on the training data, the set of decision trees, and the training vectors.
A method of generating an acoustic model for use in speech recognition, the method comprising:
A system for generating an acoustic model for use in speech recognition, the system comprising:
A non-transitory computer-readable storage medium storing instructions which, when executed by a computing device, cause the computing device to recognize speech, the instructions comprising:
Dependencies are inferred from the claim text.