公开(公告)号：US09449598B1

公开(公告)日：2016-09-20

申请号：US14037975

申请日：2013-09-26

Applicant: Amazon Technologies, Inc.

Inventor： Ariya Rastrow ,  Bjorn Hoffmeister ,  Sri Venkata Surya Siva Rama Krishna Garimella ,  Rohit Krishna Prasad

IPC: G10L15/00 ,  G10L15/18 ,  G10L15/02 ,  G06F17/20 ,  G06F17/27 ,  G10L15/193 ,  G10L15/197

CPC classification number: G10L15/197 ,  G06F17/20 ,  G06F17/271 ,  G06F17/2715 ,  G10L15/193 ,  G10L15/32

Abstract: Features are disclosed for performing speech recognition on utterances using a grammar and a statistical language model, such as an n-gram model. States of the grammar may correspond to states of the statistical language model. Speech recognition may be initiated using the grammar. At a given state of the grammar, speech recognition may continue at a corresponding state of the statistical language model. Speech recognition may continue using the grammar in parallel with the statistical language model, or it may continue using the statistical language model exclusively. Scores associated with the correspondences between states (e.g., backoff arcs) may be determined according to a heuristically or based on test data.

Abstract translation: 公开了使用语法和诸如n-gram模型的统计语言模型来进行语音识别的特征。 语法状态可能对应于统计语言模型的状态。 可以使用语法来启动语音识别。 在语法的给定状态下，语音识别可以在统计语言模型的相应状态下继续。 语音识别可以继续使用与统计语言模型并行的语法，或者可以继续使用统计语言模型。 可以根据启发式或基于测试数据来确定与状态之间的对应关系（例如，退避弧）相关联的分数。