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    Signal Processing Coordination Among Digital Voice Assistant Computing Devices
    1.
    发明公开
    Signal Processing Coordination Among Digital Voice Assistant Computing Devices 审中-公开

    公开(公告)号：US20240119958A1

    公开(公告)日：2024-04-11

    申请号：US18488623

    申请日：2023-10-17

    Applicant: Google LLC

    Inventor： Anshul Kothari ,  Gaurav Bhaya ,  Tarun Jain

    IPC: G10L25/60 ,  G06N20/00 ,  G10L25/03 ,  H04L12/28

    CPC classification number: G10L25/60 ,  G06N20/00 ,  G10L25/03 ,  H04L12/282 ,  G10L2015/226

    Abstract: Coordinating signal processing among computing devices in a voice-driven computing environment is provided. A first and second digital assistant can detect an input audio signal, perform a signal quality check, and provide indications that the first and second digital assistants are operational to process the input audio signal. A system can select the first digital assistant for further processing. The system can receive, from the first digital assistant, data packets including a command. The system can generate, for a network connected device selected from a plurality of network connected devices, an action data structure based on the data packets, and transmit the action data structure to the selected network connected device.

    Generating and Updating Voice-Based Software Applications Using Application Templates
    4.
    发明申请
    Generating and Updating Voice-Based Software Applications Using Application Templates 有权

    公开(公告)号：US20220100476A1

    公开(公告)日：2022-03-31

    申请号：US17547596

    申请日：2021-12-10

    Applicant: Google LLC

    Inventor： Tarun Jain

    IPC: G06F8/33 ,  G06F3/0482 ,  G10L15/18 ,  G10L15/22 ,  G10L15/28 ,  H04N21/2387 ,  H04N21/458

    Abstract: Systems and methods of generating voice-based software applications are provided. A system can receive, from an application developer computing device, a request to build a voice-based software application. The system can select an application template from a plurality of application templates. The selected application template can include a module that corresponds to a function of the voice-based software application. The system can provide the selected application template to the application developer computing device. The system can receive, from the application developer computing device, an input for a field of the at least one module of the selected application template. The system can generate the voice-based software application based on the selected application template and the input for the at least one field of the at least one module of the selected application template.

    Digital assistant processing of stacked data structures
    5.
    发明授权
    Digital assistant processing of stacked data structures 有权

    公开(公告)号：US12183347B2

    公开(公告)日：2024-12-31

    申请号：US18154448

    申请日：2023-01-13

    Applicant: Google LLC

    Inventor： Anshul Kothari ,  Gaurav Bhaya ,  Tarun Jain

    IPC: G10L15/22 ,  G06F3/16 ,  G06F9/44 ,  G06F16/903 ,  G06F21/32 ,  G10L15/08 ,  G10L17/00 ,  H04L67/306 ,  H04W4/021 ,  G10L17/22

    Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

    Digital assistant processing of stacked data structures
    7.
    发明授权
    Digital assistant processing of stacked data structures 有权

    公开(公告)号：US11508371B2

    公开(公告)日：2022-11-22

    申请号：US16874240

    申请日：2020-05-14

    Applicant: Google LLC

    Inventor： Anshul Kothari ,  Tarun Jain ,  Gaurav Bhaya ,  Ruxandra Davies ,  Lisa Takehana

    IPC: G10L15/00 ,  G10L15/22 ,  G10L15/18 ,  G10L17/22 ,  H04W12/06 ,  H04W12/64 ,  G10L15/08 ,  G10L15/30

    Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

    Detection of duplicate packetized data for selective transmission into one of a plurality of a user's devices
    8.
    发明授权
    Detection of duplicate packetized data for selective transmission into one of a plurality of a user's devices 有权

    公开(公告)号：US11087751B2

    公开(公告)日：2021-08-10

    申请号：US16063122

    申请日：2017-12-08

    Applicant: Google LLC

    Inventor： Gaurav Bhaya ,  Tarun Jain ,  Anshul Kothari

    IPC: G10L15/18 ,  G06F3/16 ,  H04L29/06 ,  G10L15/22 ,  H04L12/801 ,  G10L15/08

    Abstract: A system of reducing transmissions of packetized data in a voice activated data packet based computer network environment is provided. A natural language processor component can parse an input audio signal to identify a request and a trigger keyword. Based on the input audio signal, a direct action application programming interface can generate a first action data structure, and a content selector component can select a content item. An interface management component can identify candidate interfaces and determine if prior instances of the packetized data was transmitted to the candidate interfaces. The interface management component can prevent the transmission of the packetized data if determined to be redundant, such as having previously received the data, and instead transmit it to a separate client device of a different device type.

    Digital assistant processing of stacked data structures
    9.
    发明授权
    Digital assistant processing of stacked data structures 有权

    公开(公告)号：US10665236B2

    公开(公告)日：2020-05-26

    申请号：US15966940

    申请日：2018-04-30

    Applicant: Google LLC

    Inventor： Anshul Kothari ,  Tarun Jain ,  Gaurav Bhaya ,  Lisa Takehana ,  Ruxandra Davies

    IPC: G10L15/00 ,  G10L15/22 ,  G10L15/18 ,  G10L17/22 ,  H04W12/06 ,  G10L15/08 ,  G10L15/30

    Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

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