DETECTION AND/OR ENROLLMENT OF HOT COMMANDS TO TRIGGER RESPONSIVE ACTION BY AUTOMATED ASSISTANT

    公开(公告)号:US20240194190A1

    公开(公告)日:2024-06-13

    申请号:US18581286

    申请日:2024-02-19

    Applicant: GOOGLE LLC

    Abstract: Techniques are described herein for detecting and/or enrolling (or commissioning) new “hot commands” that are useable to cause an automated assistant to perform responsive action(s) without having to be first explicitly invoked. In various implementations, an automated assistant may be transitioned from a limited listening state into a full speech recognition state in response to a trigger event. While in the full speech recognition state, the automated assistant may receive and perform speech recognition processing on a spoken command from a user to generate a textual command. The textual command may be determined to satisfy a frequency threshold in a corpus of textual commands. Consequently, data indicative of the textual command may be enrolled as a hot command. Subsequent utterance of another textual command that is semantically consistent with the textual command may trigger performance of a responsive action by the automated assistant, without requiring explicit invocation.

    DETECTION AND/OR ENROLLMENT OF HOT COMMANDS TO TRIGGER RESPONSIVE ACTION BY AUTOMATED ASSISTANT

    公开(公告)号:US20210335342A1

    公开(公告)日:2021-10-28

    申请号:US16973384

    申请日:2019-12-11

    Applicant: Google LLC

    Abstract: Techniques are described herein for detecting and/or enrolling (or commissioning) new “hot commands” that are useable to cause an automated assistant to perform responsive action(s) without having to be first explicitly invoked. In various implementations, an automated assistant may be transitioned from a limited listening state into a full speech recognition state in response to a trigger event. While in the full speech recognition state, the automated assistant may receive and perform speech recognition processing on a spoken command from a user to generate a textual command. The textual command may be determined to satisfy a frequency threshold in a corpus of textual commands Consequently, data indicative of the textual command may be enrolled as a hot command. Subsequent utterance of another textual command that is semantically consistent with the textual command may trigger performance of a responsive action by the automated assistant, without requiring explicit invocation.

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