公开(公告)号：US20170358297A1

公开(公告)日：2017-12-14

申请号：US15396045

申请日：2016-12-30

Applicant: Google Inc.

Inventor： Justin Max Scheiner ,  Petar Aleksic

IPC: G10L15/197 ,  G06F17/30 ,  G10L15/22 ,  G10L15/30

CPC classification number: G10L15/197 ,  G06F17/2775 ,  G06F17/30684 ,  G06F17/30743 ,  G10L15/1815 ,  G10L15/22 ,  G10L15/30 ,  G10L2015/223

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.