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US Patent 10229675 Scalable dynamic class language modeling

Patent 10229675 was granted and assigned to Google on March, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10229675
Date of Patent
March 12, 2019
Patent Application Number
15396045
Date Filed
December 30, 2016
Patent Citations Received
‌
US Patent 11804218 Scalable dynamic class language modeling
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US Patent 10957312 Scalable dynamic class language modeling
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US Patent 11651161 Automated detection of reasoning in arguments
0
Patent Primary Examiner
‌
Edgar X Guerra-Erazo
Patent abstract

This document generally describes systems and methods for dynamically adapting speech recognition for individual voice queries of a user using class-based language models. The method may include receiving a voice query from a user that includes audio data corresponding to an utterance of the user, and context data associated with the user. One or more class models are then generated that collectively identify a first set of terms determined based on the context data, and a respective class to which the respective term is assigned for each respective term in the first set of terms. A language model that includes a residual unigram may then be accessed and processed for each respective class to insert a respective class symbol at each instance of the residual unigram that occurs within the language model. A transcription of the utterance of the user is then generated using the modified language model.

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