Patent Document ID: 8433576
Application ID: 11655702

Base Claim:
1. A computer-implemented method comprising: providing a user option to tune a weighting parameter, and responding to tuning of the weighting parameter by raising or lowering criteria for a general-domain garbage language model to adjust a miscue detection rate and a rate of false alarms; displaying a text output having target words; dynamically generating a domain-specific target language model for the text output, the target language model being specific to the text output having the target words and including a language score for the target words of the text output; receiving an acoustic input; modeling, using a processor of a computer, the acoustic input with the dynamically generated domain-specific target language model, comprising calculating an acoustic score for the target words with reference to the acoustic input; further modeling the acoustic input with the general-domain garbage language model to identify an element of the acoustic input as a miscue that does not correspond properly to the target words of the text output; and providing user-perceptible feedback.

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Claim 11:
11. The method of claim 1 , wherein providing user-perceptible feedback comprises at least one of: displaying a phonetic representation of a portion of the text output corresponding to the miscue, the phonetic representation being displayed in addition to the portion of the text output corresponding to the miscue; and displaying a score representing how much of the acoustic input is free of miscues.