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AssigneeNuance Communications, Inc.
InventorsUwe Helmut Jost, Philip Charles Woodland, Marcel Katz, Syed Raza Shahid, Paul J. Vozila, William F. Ganong, III
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Training speech recognizers, e.g., their language or acoustic models, using actual user data is useful, but retaining personally identifiable information may be restricted in certain environments due to regulations. Accordingly, a method or system is provided for enabling training of a language model which includes producing segments of text in a text corpus and counts corresponding to the segments of text, the text corpus being in a depersonalized state. The method further includes enabling a system to train a language model using the segments of text in the depersonalized state and the counts. Because the data is depersonalized, actual data may be used, enabling speech recognizers to keep up-to-date with user trends in speech and usage, among other benefits.
A method of enabling training of a language model, the method comprising:
A system for enabling training of a language model, the system comprising:
A computer program product comprising a non-transitory computer-readable medium storing instructions for performing a method of enabling training of a language model, the instructions, when loaded and executed by a processor, cause the processor to:
Dependencies are inferred from the claim text.