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    Automated assistants that accommodate multiple age groups and/or vocabulary levels
    63.
    发明授权
    Automated assistants that accommodate multiple age groups and/or vocabulary levels 有权

    公开(公告)号：US10573298B2

    公开(公告)日：2020-02-25

    申请号：US15954174

    申请日：2018-04-16

    Applicant: Google LLC

    Inventor： Pedro Gonnet Anders ,  Victor Carbune ,  Daniel Keysers ,  Thomas Deselaers ,  Sandro Feuz

    IPC: G10L15/18 ,  G10L15/22 ,  G10L15/19

    Abstract: Techniques are described herein for enabling an automated assistant to adjust its behavior depending on a detected age range and/or “vocabulary level” of a user who is engaging with the automated assistant. In various implementations, data indicative of a user's utterance may be used to estimate one or more of the user's age range and/or vocabulary level. The estimated age range/vocabulary level may be used to influence various aspects of a data processing pipeline employed by an automated assistant. In various implementations, aspects of the data processing pipeline that may be influenced by the user's age range/vocabulary level may include one or more of automated assistant invocation, speech-to-text (“STT”) processing, intent matching, intent resolution (or fulfillment), natural language generation, and/or text-to-speech (“TTS”) processing. In some implementations, one or more tolerance thresholds associated with one or more of these aspects, such as grammatical tolerances, vocabularic tolerances, etc., may be adjusted.

    PROGRESS DISPLAY OF HANDWRITING INPUT
    64.
    发明申请
    PROGRESS DISPLAY OF HANDWRITING INPUT 审中-公开

    公开(公告)号：US20190235749A1

    公开(公告)日：2019-08-01

    申请号：US16377076

    申请日：2019-04-05

    Applicant: Google LLC

    Inventor： Franz Josef Och ,  Thomas Deselaers ,  Daniel Martin Keysers ,  Henry Allan Rowley

    IPC: G06F3/0488 ,  G06K9/03 ,  G06K9/00

    CPC classification number: G06F3/04883 ,  G06K9/00402 ,  G06K9/00979 ,  G06K9/033

    Abstract: A computer-implemented method includes: receiving, at a user device, user input corresponding to handwritten text to be recognized using a recognition engine; and receiving, at the user device, a representation of the handwritten text. The representation includes the handwritten text parsed into individual handwritten characters. The method further includes: displaying, on a display of the user device, the handwritten characters using a first indicator; receiving, at the user device, an identification of a text character recognized as one of the handwritten characters; displaying, on the display, the text character; and adjusting, at the user device, the one of the handwritten characters from being displayed using the first indicator to using a second indicator in response to the received identification. The first and second indicators are different.

    GENERATING AND/OR PRIORITIZING PRE-CALL CONTENT FOR RENDERING WHEN AWAITING ACCEPTANCE OF AN INCOMING CALL
    66.
    发明申请
    GENERATING AND/OR PRIORITIZING PRE-CALL CONTENT FOR RENDERING WHEN AWAITING ACCEPTANCE OF AN INCOMING CALL 有权

    公开(公告)号：US20250162682A1

    公开(公告)日：2025-05-22

    申请号：US19029458

    申请日：2025-01-17

    Applicant: GOOGLE LLC

    Inventor： Sandro Feuz ,  Thomas Deselaers

    IPC: B62L3/02 ,  B60T7/08 ,  G01D5/14 ,  G06F3/01 ,  G06N20/00 ,  H04M3/42 ,  H04M3/436

    Abstract: Implementations set forth herein relate to generating a pre-call analysis for one or more users that are receiving and/or initializing a call with one or more other users, and/or prioritizing pre-call content according to whether security-related value was gleaned from provisioning certain pre-call content. One or more machine learning models can be employed for determining the pre-call content to be cached and/or presented prior to a user accepting a call from another user. Feedback provided before, during, and/or after the call can be used as a basis from which to prioritize certain content and/or sources of content when generating pre-call content for a subsequent call. Other information, such as contextual data (e.g., calendar entries, available peripheral devices, location, etc.) corresponding to the previous call and/or the subsequent call, can also be used as a basis from which to provide a pre-call analysis.

    Video conference content auto-retrieval and focus based on learned relevance
    67.
    发明授权
    Video conference content auto-retrieval and focus based on learned relevance 有权

    公开(公告)号：US12192022B1

    公开(公告)日：2025-01-07

    申请号：US18592428

    申请日：2024-02-29

    Applicant: GOOGLE LLC

    Inventor： Victor Carbune ,  Daniel Keysers ,  Thomas Deselaers

    IPC: G06F15/16 ,  H04L12/18 ,  H04M3/56

    Abstract: Systems and methods for video conference content auto-retrieval and focus based on learned relevance is provided. A method may include determining collaborative documents each associated with at least one user participating in a video conference, and providing one or more first inputs to a machine learning model, the one or more first inputs identifying the plurality of collaborative documents, and comprising an indication of a request to identify a collaborative document that is most relevant to a first subject discussed during the video conference at a first point in time. The method may further include determining, based on one or more first outputs of the machine learning model, the collaborative document that is the most relevant to the first subject discussed during the video conference at the first point in time, and providing the determined collaborative document for presentation on one or more client devices while the first subject is being discussed during the video conference.

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