Confidence calibration in automatic speech recognition systems
AssigneeMicrosoft Technology Licensing, LLC
InventorsDong Yu, Li Deng, Jinyu Li
Life of this patent
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AssigneeMicrosoft Technology Licensing, LLC
InventorsDong Yu, Li Deng, Jinyu Li
Estimating the term…
Described is a calibration model for use in a speech recognition system. The calibration model adjusts the confidence scores output by a speech recognition engine to thereby provide an improved calibrated confidence score for use by an application. The calibration model is one that has been trained for a specific usage scenario, e.g., for that application, based upon a calibration training set obtained from a previous similar/corresponding usage scenario or scenarios. Different calibration models may be used with different usage scenarios, e.g., during different conditions. The calibration model may comprise a maximum entropy classifier with distribution constraints, trained with continuous raw confidence scores and multi-valued word tokens, and/or other distributions and extracted features.
A system comprising:
In a computing environment, a method comprising:
One or more computer storage devices having computer-executable instructions, which in response to execution by a computer, cause the computer to perform steps comprising:
Dependencies are inferred from the claim text.