VOICE AND TOUCH USER INTERFACE
    31.
    发明申请

    公开(公告)号:US20170314958A1

    公开(公告)日:2017-11-02

    申请号:US15650433

    申请日:2017-07-14

    Applicant: Apple Inc.

    CPC classification number: G01C21/3697 G01C21/36 G01C21/362

    Abstract: Various examples are directed to an electronic device capable of touch input through a touch-sensitive surface and/or voice input through a microphone. In some examples, the electronic device may be used in an automobile. For example, some or all of the electronic device may be mounted in a dashboard for use while driving. The electronic device may provide informational content, entertainment content, navigation, and communication features in such a manner that user interaction may be minimized, thus providing a safe driving experience. This can be accomplished by performing tasks and presenting content automatically, without the need for user input, and by allowing user input through voice controls, touch screen controls, and/or physical controls mounted on the dashboard or steering wheel, among other possibilities.

    CROWD SOURCING INFORMATION TO FULFILL USER REQUESTS
    34.
    发明申请
    CROWD SOURCING INFORMATION TO FULFILL USER REQUESTS 审中-公开
    CROWD采购信息,以填写用户要求

    公开(公告)号:US20160188738A1

    公开(公告)日:2016-06-30

    申请号:US15063223

    申请日:2016-03-07

    Applicant: Apple Inc.

    Abstract: A user request is received from a mobile client device, where the user request includes at least a speech input and seeks an informational answer or performance of a task. A failure to provide a satisfactory response to the user request is detected. In response to detection of the failure, information relevant to the user request is crowd-sourced by querying one or more crowd sourcing information sources. One or more answers are received from the crowd sourcing information sources, and the response to the user request is generated based on at least one of the one or more answers received from the one or more crowd sourcing information sources.

    Abstract translation: 从移动客户端设备接收到用户请求,其中用户请求至少包括语音输入并且寻找信息答案或执行任务。 检测到不能对用户请求提供令人满意的响应。 响应于故障的检测,与用户请求相关的信息是通过查询一个或多个群众来源信息源而聚集的。 从群众采购信息源接收到一个或多个答案,并且基于从一个或多个群众采购信息源接收到的一个或多个答案中的至少一个产生对用户请求的响应。

    TRAINING AN AT LEAST PARTIAL VOICE COMMAND SYSTEM
    37.
    发明申请
    TRAINING AN AT LEAST PARTIAL VOICE COMMAND SYSTEM 有权
    训练最小部分语音指令系统

    公开(公告)号:US20140278413A1

    公开(公告)日:2014-09-18

    申请号:US14213878

    申请日:2014-03-14

    Applicant: Apple Inc.

    CPC classification number: G10L15/063 G10L15/22 G10L2015/223 G10L2015/227

    Abstract: An electronic device with one or more processors and memory includes a procedure for training a digital assistant. In some embodiments, the device detects an impasse in a dialogue between the digital assistant and a user including a speech input. During a learning session, the device utilizes a subsequent clarification input from the user to adjust intent inference or task execution associated with the speech input to produce a satisfactory response. In some embodiments, the device identifies a pattern of success or failure associated with an aspect previously used to complete a task and generates a hypothesis regarding a parameter used in speech recognition, intent inference or task execution as a cause for the pattern. Then, the device tests the hypothesis by altering the parameter for a subsequent completion of the task and adopts or rejects the hypothesis based on feedback information collected from the subsequent completion.

    Abstract translation: 具有一个或多个处理器和存储器的电子设备包括用于训练数字助理的程序。 在一些实施例中,设备检测数字助理和包括语音输入的用户之间的对话中的僵局。 在学习会话期间,设备利用来自用户的随后的澄清输入来调整与语音输入相关联的意图推理或任务执行以产生令人满意的响应。 在一些实施例中,设备识别与先前用于完成任务的方面相关联的成功或失败的模式,并且生成关于在语音识别,意图推断或任务执行中使用的参数作为模式的原因的假设。 然后,设备通过修改随后完成任务的参数来测试假设,并根据从后续完成收集的反馈信息采用或拒绝假设。

    USER TRAINING BY INTELLIGENT DIGITAL ASSISTANT

    公开(公告)号:US20210407318A1

    公开(公告)日:2021-12-30

    申请号:US17473447

    申请日:2021-09-13

    Applicant: Apple Inc.

    Abstract: The method includes receiving, from a user, a first speech input spoken in a first language; inferring a user intent based on at least the first speech input in the first language; based on the inferred user intent, generating one or more alternative expressions of the first speech input in the first language; and providing feedback to the user introducing the alternative expressions as a more preferred input to express the inferred user intent than the first speech input provided by the user.

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