EXAMPLE-BASED VOICE BOT DEVELOPMENT TECHNIQUES

    公开(公告)号:US20220180857A1

    公开(公告)日:2022-06-09

    申请号:US17112418

    申请日:2020-12-04

    Applicant: Google LLC

    Abstract: Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).

    AUTOMATED CALLING SYSTEM
    2.
    发明申请

    公开(公告)号:US20210335365A1

    公开(公告)日:2021-10-28

    申请号:US17049689

    申请日:2020-05-05

    Applicant: GOOGLE LLC

    Abstract: Methods, systems, and apparatus for an automated calling system are disclosed. Some implementations are directed to using a bot to initiate telephone calls and conduct telephone conversations with a user. The bot may be interrupted while providing synthesized speech during the telephone call. The interruption can be classified into one of multiple disparate interruption types, and the bot can react to the interruption based on the interruption type. Some implementations are directed to determining that a first user is placed on hold by a second user during a telephone conversation, and maintaining the telephone call in an active state in response to determining the first user hung up the telephone call. The first user can be notified when the second user rejoins the call, and a bot associated with the first user can notify the first user that the second user has rejoined the telephone call.

    DETERMINATION AND VISUAL DISPLAY OF SPOKEN MENUS FOR CALLS

    公开(公告)号:US20230066100A1

    公开(公告)日:2023-03-02

    申请号:US17540895

    申请日:2021-12-02

    Applicant: Google LLC

    Abstract: Implementations relate to determination and visual display of spoken menus for calls. In some implementations, a computer-implemented method includes receiving audio data output in a call between a call device and a device associated with a target entity. The audio data includes speech indicating one or more selection options for a user of the call device to navigate through a call menu provided by the target entity in the call. Text is determined by programmatically analyzing the audio data, the text representing the speech. The selection options are determined based on programmatically analyzing at least one of the text or the audio data. At least a portion of the text is displayed by the call device during the call, as one or more visual options that correspond to the selection options. The visual options are each selectable via user input to cause corresponding navigation through the call menu.

    EXAMPLE-BASED VOICE BOT DEVELOPMENT TECHNIQUES

    公开(公告)号:US20220180858A1

    公开(公告)日:2022-06-09

    申请号:US17541098

    申请日:2021-12-02

    Applicant: GOOGLE LLC

    Abstract: Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).

Patent Agency Ranking