Identifying non-search actions based on a search query

    公开(公告)号:US10270862B1

    公开(公告)日:2019-04-23

    申请号:US15885160

    申请日:2018-01-31

    Applicant: Google LLC

    Abstract: In general, the subject matter described in this specification can be embodied in methods, systems, and program products for invoking a non-search action based on a search query. A server system receives a search query from a remote computing device. The server system determines whether the search query includes reserved text that indicates an intent by a user that provided the search query to the remote computing device to perform a non-search messaging action instead of or in addition to obtaining search results. The server system provides to the computing device, in response to determining that the search query includes the reserved text, code for causing the remote computing device to display a draft communication that includes at least the search query without the reserved text, and for allowing the user to edit the draft communication before transmitting the draft communication for receipt by recipient users.

    Speaker verification using co-location information

    公开(公告)号:US10986498B2

    公开(公告)日:2021-04-20

    申请号:US16573581

    申请日:2019-09-17

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying a user in a multi-user environment. One of the methods includes receiving, by a first user device, an audio signal encoding an utterance, obtaining, by the first user device, a first speaker model for a first user of the first user device, obtaining, by the first user device for a second user of a second user device that is co-located with the first user device, a second speaker model for the second user or a second score that indicates a respective likelihood that the utterance was spoken by the second user, and determining, by the first user device, that the utterance was spoken by the first user using (i) the first speaker model and the second speaker model or (ii) the first speaker model and the second score.

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