Social group suggestions within a social network
    1.
    发明授权
    Social group suggestions within a social network 有权
    社交网络中的社群组建议

    公开(公告)号:US09374399B1

    公开(公告)日:2016-06-21

    申请号:US14180086

    申请日:2014-02-13

    Applicant: Google Inc.

    CPC classification number: H04L65/403 G06Q30/02 G06Q50/01

    Abstract: In one example, a method includes receiving, by a first computing device and from a second computing device, an image comprising an object. A user may be associated with a social networking service and the second computing device. The method further includes selecting a social group associated with the user in the social networking service. The selection may be based at least in part on one or more characteristics associated with the object. The method also includes sending, by the first computing device to the second computing device, an indication of the social group selected by the first computing device.

    Abstract translation: 在一个示例中,方法包括由第一计算设备和第二计算设备接收包括对象的图像。 用户可以与社交网络服务和第二计算设备相关联。 该方法还包括在社交网络服务中选择与用户相关联的社交群组。 该选择可以至少部分地基于与对象相关联的一个或多个特征。 该方法还包括由第一计算设备向第二计算设备发送由第一计算设备选择的社交群组的指示。

    USING A DIGITAL IMAGE IN A SOCIAL NETWORKING SYSTEM
    2.
    发明申请
    USING A DIGITAL IMAGE IN A SOCIAL NETWORKING SYSTEM 审中-公开
    在社交网络系统中使用数字图像

    公开(公告)号:US20150032820A1

    公开(公告)日:2015-01-29

    申请号:US14484706

    申请日:2014-09-12

    Applicant: Google Inc.

    CPC classification number: H04L67/306 G06Q50/01 H04L63/102

    Abstract: Systems and methods for using a digital image in a social networking system may use digital image to identify a physical entity. Information about the identified physical entity may be provided to an electronic display for review by a user. The user may perform a social networking action with the identified physical entity or a website associated with the physical entity. Social networking actions may include rating or commenting about the physical entity or the associated website via a social networking system. Social networking actions may also include sharing information about the physical entity or associated website with another user via the social networking system.

    Abstract translation: 在社交网络系统中使用数字图像的系统和方法可以使用数字图像来识别物理实体。 关于所识别的物理实体的信息可以被提供给电子显示器以供用户审查。 用户可以与所识别的物理实体或与物理实体相关联的网站执行社交网络动作。 社交网络动作可以包括通过社交网络系统评估或评论物理实体或相关网站。 社交网络动作还可以包括通过社交网络系统与其他用户共享关于物理实体或相关网站的信息。

    Sampling training data for an automatic speech recognition system based on a benchmark classification distribution
    3.
    发明授权
    Sampling training data for an automatic speech recognition system based on a benchmark classification distribution 有权
    基于基准分类分布的自动语音识别系统的采样训练数据

    公开(公告)号:US09202461B2

    公开(公告)日:2015-12-01

    申请号:US13745295

    申请日:2013-01-18

    Applicant: Google Inc.

    CPC classification number: G10L15/063 G10L15/183

    Abstract: A set of benchmark text strings may be classified to provide a set of benchmark classifications. The benchmark text strings in the set may correspond to a benchmark corpus of benchmark utterances in a particular language. A benchmark classification distribution of the set of benchmark classifications may be determined. A respective classification for each text string in a corpus of text strings may also be determined. Text strings from the corpus of text strings may be sampled to form a training corpus of training text strings such that the classifications of the training text strings have a training text string classification distribution that is based on the benchmark classification distribution. The training corpus of training text strings may be used to train an automatic speech recognition (ASR) system.

    Abstract translation: 一组基准文本字符串可以分类为提供一组基准分类。 集合中的基准文本字符串可以对应于特定语言的基准语音的基准语料库。 可以确定基准分类集合的基准分类分布。 也可以确定文本字符串的语料库中的每个文本字符串的相应分类。 来自文本字符串语料库的文本字符串可以被采样以形成训练文本串的训练语料库,使得训练文本串的分类具有基于基准分类分布的训练文本串分类分布。 训练文本字符串的训练语料库可用于训练自动语音识别(ASR)系统。

    Synchronous communication system and method

    公开(公告)号:US09525658B2

    公开(公告)日:2016-12-20

    申请号:US15044004

    申请日:2016-02-15

    Applicant: Google Inc.

    CPC classification number: H04L51/32 G06Q30/0631 G06Q50/01 H04L65/403

    Abstract: A method, computer program product, and computing system for providing a plurality of users of a social network with the ability to indicate affinity with an electronic object. An indication is received from a first user of the plurality of users to initiate an object-specific, synchronous communication session concerning the electronic object. Electronic invitations to join the object-specific, synchronous communication session are provided to one or more invited users of the plurality of users of the social network. A request is received, from at least one of the invited users, to join the object-specific, synchronous communication session. The object-specific, synchronous communication session is provided for the first user and the at least one of the invited users.

    TECHNIQUES FOR SELECTING LANGUAGES FOR AUTOMATIC SPEECH RECOGNITION
    5.
    发明申请
    TECHNIQUES FOR SELECTING LANGUAGES FOR AUTOMATIC SPEECH RECOGNITION 审中-公开
    选择自动语音识别语言的技术

    公开(公告)号:US20140067366A1

    公开(公告)日:2014-03-06

    申请号:US13912255

    申请日:2013-06-07

    Applicant: Google Inc.

    CPC classification number: G10L15/005 G06F3/0488 G06F3/165

    Abstract: A computer-implemented technique includes receiving, at a computing device including one or more processors, a touch input from a user. The touch input includes (i) a spot input indicating a request to provide a speech input to the computing device followed by (ii) a slide input indicating a desired language for automatic speech recognition of the speech input. The technique includes receiving, at the computing device, the speech input from the user. The technique includes obtaining, at the computing device, one or more recognized characters resulting from automatic speech recognition of the speech input using the desired language. The technique also includes outputting, at the computing device, the one or more recognized characters.

    Abstract translation: 计算机实现的技术包括在包括一个或多个处理器的计算设备处接收来自用户的触摸输入。 触摸输入包括(i)指示向计算设备提供语音输入的请求的点输入,随后是(ii)指示用于语音输入的自动语音识别的期望语言的幻灯片输入。 该技术包括在计算设备处接收来自用户的语音输入。 该技术包括在计算设备处获得由使用期望语言的语音输入的自动语音识别产生的一个或多个识别的字符。 该技术还包括在计算设备处输出一个或多个识别的字符。

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