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公开(公告)号:US20180182390A1
公开(公告)日:2018-06-28
申请号:US15391358
申请日:2016-12-27
Applicant: Google Inc.
Inventor: Christopher Thaddeus Hughes , Ignacio Lopez Moreno , Aleksandar Kracun
CPC classification number: G10L15/22 , G10L15/02 , G10L15/08 , G10L15/20 , G10L2015/088 , G10L2015/223 , G10L2015/226 , G10L2015/228
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for contextual hotwords are disclosed. In one aspect, a method, during a boot process of a computing device, includes the actions of determining, by a computing device, a context associated with the computing device. The actions further include, based on the context associated with the computing device, determining a hotword. The actions further include, after determining the hotword, receiving audio data that corresponds to an utterance. The actions further include determining that the audio data includes the hotword. The actions further include, in response to determining that the audio data includes the hotword, performing an operation associated with the hotword.
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公开(公告)号:US20180330728A1
公开(公告)日:2018-11-15
申请号:US15593278
申请日:2017-05-11
Applicant: Google Inc.
Inventor: Alexander H. Gruenstein , Aleksandar Kracun , Matthew Sharifi
CPC classification number: G10L15/22 , G06F17/30026 , G10L15/08 , G10L15/26 , G10L17/005 , G10L2015/0636 , G10L2015/088 , G10L2015/223 , H04L63/1425 , H04L63/1458
Abstract: A computing system receives requests from client devices to process voice queries that have been detected in local environments of the client devices. The system identifies that a value that is based on a number of requests to process voice queries received by the system during a specified time interval satisfies one or more criteria. In response, the system triggers analysis of at least some of the requests received during the specified time interval to trigger analysis of at least some received requests to determine a set of requests that each identify a common voice query. The system can generate an electronic fingerprint that indicates a distinctive model of the common voice query. The fingerprint can then be used to detect an illegitimate voice query identified in a request from a client device at a later time.
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