PHONETIC PRONUNCIATION
    1.
    发明申请
    PHONETIC PRONUNCIATION 审中-公开
    电话宣传

    公开(公告)号:US20140074470A1

    公开(公告)日:2014-03-13

    申请号:US13948996

    申请日:2013-07-23

    Applicant: Google Inc.

    CPC classification number: G10L15/063 G10L15/187 G10L2015/025

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for improved pronunciation. One of the methods includes receiving data that represents an audible pronunciation of the name of an individual from a user device. The method includes identifying one or more other users that are members of a social circle that the individual is a member. The method includes identifying one or more devices associated with the other users. The method also includes providing information that identifies the individual and the data representing the audible pronunciation to the one or more identified devices.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于改进发音。 其中一种方法包括从用户设备接收表示个人名称的听觉发音的数据。 该方法包括识别作为该个体是成员的社交圈的成员的一个或多个其他用户。 该方法包括识别与其他用户相关联的一个或多个设备。 该方法还包括提供将个体和表示可听见的发音的数据标识给一个或多个所识别的设备的信息。

    Building language models for a user in a social network from linguistic information

    公开(公告)号:US09747895B1

    公开(公告)日:2017-08-29

    申请号:US13936858

    申请日:2013-07-08

    Applicant: Google Inc.

    CPC classification number: G10L15/183

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for building language models. One of the methods includes identifying a first group of one or more users associated with a user in a social network. The method includes identifying first linguistic information associated with the first group. The method includes generating a first language model based on the first linguistic information. The method includes identifying a second group of one or more users associated with the user. The method includes identifying second linguistic information associated with the second group. The method includes generating a second language model based on the second linguistic information. The method includes associating the first language model and the second language model with the user.

    Using social networks to improve acoustic models
    3.
    发明授权
    Using social networks to improve acoustic models 有权
    使用社交网络来改善声学模型

    公开(公告)号:US09460716B1

    公开(公告)日:2016-10-04

    申请号:US13937408

    申请日:2013-07-09

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for acoustic model generation. One of the methods includes identifying one or more demographic characteristics for a user of a social networking site. The method includes receiving speech data from the user, the speech data associated with a user device. The method includes storing the speech data associated with demographic characteristics of the user and the user device.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于声学模型生成。 方法之一包括为社交网站的用户识别一个或多个人口特征。 所述方法包括从用户接收语音数据,与用户设备相关联的语音数据。 该方法包括存储与用户和用户设备的人口特征相关联的语音数据。

    Generating prosodic contours for synthesized speech
    4.
    发明授权
    Generating prosodic contours for synthesized speech 有权
    为合成语音生成韵律轮廓

    公开(公告)号:US09093067B1

    公开(公告)日:2015-07-28

    申请号:US13685228

    申请日:2012-11-26

    Applicant: Google Inc.

    CPC classification number: G10L13/027 G10L13/10

    Abstract: The subject matter of this specification can be implemented in a computer-implemented method that includes receiving utterances and transcripts thereof. The method includes analyzing the utterances and transcripts to determine certain attributes, such as distances between prosodic contours for pairs of utterances. A model can be generated that can be used to estimate a distance between a determined prosodic contour for a received utterance and an unknown prosodic contour for a synthesized utterance when given a distance between attributes for text associated with the received utterance and the synthesized utterance.

    Abstract translation: 本说明书的主题可以以计算机实现的方法来实现,该方法包括接收其话语和抄本。 该方法包括分析话语和抄本以确定某些属性,例如话语对的韵律轮廓之间的距离。 当给定与所接收的话语相关联的文本的属性与合成话语之间的距离时,可以生成可以用于估计用于接收到的话语的确定的韵律轮廓与合成话语的未知韵律轮廓之间的距离的模型。

    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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