公开(公告)号：US10777204B2

公开(公告)日：2020-09-15

申请号：US16406456

申请日：2019-05-08

申请人： Google LLC

发明人： Sang Soo Sung ,  David P. Whipp ,  Jing Qian

IPC分类号： G10L15/22 ,  G10L15/30 ,  G06Q10/06 ,  G10L15/26 ,  G10L13/00

摘要： Methods, systems, and apparatus, including computer programs stored on a computer-readable storage medium, for asynchronous execution of client requests. In some implementations, data indicating a user request to a digital assistant is received. An action corresponding to the user request is determined. It is determined that the action is classified as an action to be performed asynchronously to the user request. A confirmation message is sent, for output, and the action is performed asynchronously to the user request.

公开(公告)号：US20190279626A1

公开(公告)日：2019-09-12

申请号：US16109069

申请日：2018-08-22

申请人： Google LLC

发明人： Bo Wang ,  Subbaiah Venkata ,  Chad Yoshikawa ,  Chris Ramsdale ,  Pravir Gupta ,  Alfonso Gomez-Jordana ,  Kevin Yeun ,  Jae Won Seo ,  Lantian Zheng ,  Sang Soo Sung

IPC分类号： G10L15/22 ,  G10L15/30

摘要： Systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. The data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. The data processing system can identify, using the identifier, a device action data set. The data processing system can identify a device action from device action data set based on content of the audio signal. The data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.

公开(公告)号：US10223392B1

公开(公告)日：2019-03-05

申请号：US15902103

申请日：2018-02-22

申请人： Google LLC

发明人： Maxim Gubin ,  Kenneth W. Dauber ,  Krishna Bharat ,  Sang Soo Sung

IPC分类号： G06F17/30

摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing suggestions within a document. In one aspect, a method includes obtaining textual input provided to a document editing application by a user device, the textual input being provided to the document editing application for inclusion in a document; identifying performance measures associated with the current editing session for the document, each performance measure being based on session data obtained from the user device during a document editing session, the session data being for the textual input and prior text that was included in the document prior to the textual input; providing the performance measures as input to a suggestion model that was trained using historical performance measures identified in performance logs for historical document editing sessions of users; and throttling textual suggestions during the current editing session based on the output of the suggestion model.