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    Feedback service
    12.
    发明授权
    Feedback service 有权
    反馈服务

    公开(公告)号：US09595055B2

    公开(公告)日：2017-03-14

    申请号：US14091871

    申请日：2013-11-27

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Steven Neil Tischer ,  Ari Craine

    IPC: G06Q30/00 ,  G06Q30/06 ,  G06Q50/00

    CPC classification number: G06Q30/0601 ,  G06Q30/0643 ,  G06Q50/01

    Abstract: Concepts and technologies are disclosed herein for providing and interacting with a feedback service. A processor such as a computing system or a server computer can execute a feedback service. The feedback service can detect activity associated with an item at a user device. The item can be an item for sale and the activity can relate to a purchase of the item. The feedback service can generate a social networking post relating to the item. The social networking post can include a visual representation of the item and a solicitation for feedback from a social network. The feedback service can provide feedback relating to the social networking post. The feedback can include an opinion relating to the item and demographic information relating to an entity that provided the opinion. The feedback service can provide the feedback to the user device and/or other entities.

    Abstract translation: 这里公开了用于提供和与反馈服务交互的概念和技术。 诸如计算系统或服务器计算机的处理器可以执行反馈服务​​。 反馈服务可以检测与用户设备上的项目相关联的活动。 该项目可以是要出售的物品，该活动可以涉及购买该物品。 反馈服务可以产生与该项目相关的社交网络帖子。 社交网络帖子可以包括项目的视觉表示和来自社交网络的反馈的征集。 反馈服务可以提供与社交网络职位相关的反馈。 反馈可以包括与提供意见的实体有关的项目和人口信息的意见。 反馈服务可以向用户设备和/或其他实体提供反馈。

    System and method for standardized speech recognition infrastructure
    14.
    发明授权
    System and method for standardized speech recognition infrastructure 有权
    标准语音识别基础设施的系统和方法

    公开(公告)号：US08781831B2

    公开(公告)日：2014-07-15

    申请号：US14018808

    申请日：2013-09-05

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Andrej Ljolje ,  Bernard S. Renger ,  Steven Neil Tischer

    IPC: G10L15/06

    CPC classification number: G10L15/075 ,  G10L15/063 ,  G10L15/065 ,  G10L15/07 ,  G10L15/08

    Abstract: Disclosed herein are systems, methods, and computer-readable storage media for selecting a speech recognition model in a standardized speech recognition infrastructure. The system receives speech from a user, and if a user-specific supervised speech model associated with the user is available, retrieves the supervised speech model. If the user-specific supervised speech model is unavailable and if an unsupervised speech model is available, the system retrieves the unsupervised speech model. If the user-specific supervised speech model and the unsupervised speech model are unavailable, the system retrieves a generic speech model associated with the user. Next the system recognizes the received speech from the user with the retrieved model. In one embodiment, the system trains a speech recognition model in a standardized speech recognition infrastructure. In another embodiment, the system handshakes with a remote application in a standardized speech recognition infrastructure.

    Abstract translation: 这里公开了用于在标准化语音识别基础设施中选择语音识别模型的系统，方法和计算机可读存储介质。 系统从用户接收语音，并且如果与用户相关联的用户特定的监督语音模型可用，则检索监督的语音模型。 如果用户特定的监督语音模型不可用，并且如果无监督语音模型可用，则系统检索无监督语音模型。 如果用户特定的监督语音模型和无监督语音模型不可用，则系统检索与用户相关联的通用语音模型。 接下来，系统使用所检索的模型识别来自用户的接收到的语音。 在一个实施例中，系统在标准化语音识别基础设施中训练语音识别模型。 在另一个实施例中，系统与标准语音识别基础设施中的远程应用握手。

    SYSTEM AND METHOD FOR STANDARDIZED SPEECH RECOGNITION
    15.
    发明申请
    SYSTEM AND METHOD FOR STANDARDIZED SPEECH RECOGNITION 有权
    用于标准化语音识别的系统和方法

    公开(公告)号：US20130151252A1

    公开(公告)日：2013-06-13

    申请号：US13762978

    申请日：2013-02-08

    Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

    Inventor： Andrej Ljolje ,  Bernard S. Renger ,  Steven Neil Tischer

    IPC: G10L15/06

    CPC classification number: G10L15/075 ,  G10L15/063 ,  G10L15/065 ,  G10L15/07 ,  G10L15/08

    Abstract: Disclosed herein are systems, methods, and computer-readable storage media for selecting a speech recognition model in a standardized speech recognition infrastructure. The system receives speech from a user, and if a user-specific supervised speech model associated with the user is available, retrieves the supervised speech model. If the user-specific supervised speech model is unavailable and if an unsupervised speech model is available, the system retrieves the unsupervised speech model. If the user-specific supervised speech model and the unsupervised speech model are unavailable, the system retrieves a generic speech model associated with the user. Next the system recognizes the received speech from the user with the retrieved model. In one embodiment, the system trains a speech recognition model in a standardized speech recognition infrastructure. In another embodiment, the system handshakes with a remote application in a standardized speech recognition infrastructure.

    Abstract translation: 这里公开了用于在标准化语音识别基础设施中选择语音识别模型的系统，方法和计算机可读存储介质。 系统从用户接收语音，并且如果与用户相关联的用户特定的监督语音模型可用，则检索监督的语音模型。 如果用户特定的监督语音模型不可用，并且如果无人监督的语音模型可用，则系统检索无监督语音模型。 如果用户特定的监督语音模型和无监督语音模型不可用，则系统检索与用户相关联的通用语音模型。 接下来，系统使用所检索的模型识别来自用户的接收到的语音。 在一个实施例中，系统在标准化语音识别基础设施中训练语音识别模型。 在另一个实施例中，系统与标准语音识别基础设施中的远程应用握手。

    Dynamic Glyph-Based Search
    16.
    发明申请
    Dynamic Glyph-Based Search 审中-公开

    公开(公告)号：US20190034455A1

    公开(公告)日：2019-01-31

    申请号：US16145528

    申请日：2018-09-28

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Lee Begeja ,  Robert J. Andres ,  David C. Gibbon ,  Steven Neil Tischer

    IPC: G06F17/30 ,  G06F3/0484 ,  G06F3/0482 ,  G06F3/0481

    Abstract: A method and apparatus for a dynamic glyph based search includes an image server. The image server analyzes images to determine the content of an image. The image and data related to the determined content of the image are stored in an image database. A user can access the image server and search images using search glyphs. In response to selection of a generic-search glyph, the image server finds related images in the image database and the images are displayed to the user. In addition, refine-search glyphs are displayed to a user based on the selected generic-search glyph. One or more refine-search glyphs can be selected by a user to further narrow a search to specific people, locations, objects, and other image content.

    Dynamic glyph-based search
    17.
    发明授权
    Dynamic glyph-based search 有权

    公开(公告)号：US10133752B2

    公开(公告)日：2018-11-20

    申请号：US14553008

    申请日：2014-11-25

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Lee Begeja ,  Robert J. Andres ,  David C. Gibbon ,  Steven Neil Tischer

    IPC: G06F3/048 ,  G06F17/30 ,  G06F3/0481 ,  G06F3/0482 ,  G06F3/0484

    Abstract: A method and apparatus for a dynamic glyph based search includes an image server. The image server analyzes images to determine the content of an image. The image and data related to the determined content of the image are stored in an image database. A user can access the image server and search images using search glyphs. In response to selection of a generic-search glyph, the image server finds related images in the image database and the images are displayed to the user. In addition, refine-search glyphs are displayed to a user based on the selected generic-search glyph. One or more refine-search glyphs can be selected by a user to further narrow a search to specific people, locations, objects, and other image content.

    Automated detection and filtering of audio advertisements
    19.
    发明授权
    Automated detection and filtering of audio advertisements 有权
    音频广告的自动检测和过滤

    公开(公告)号：US09183177B2

    公开(公告)日：2015-11-10

    申请号：US13867264

    申请日：2013-04-22

    Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

    Inventor： Yeon-Jun Kim ,  I. Dan Melamed ,  Steven Neil Tischer ,  Bernard S. Renger

    IPC: G10L25/78 ,  G10L25/87 ,  G06F17/00 ,  G10L25/48 ,  G10L25/90

    CPC classification number: G06F17/30761 ,  G06F17/00 ,  G10L15/083 ,  G10L25/48 ,  G10L25/78 ,  G10L25/87 ,  G10L25/90

    Abstract: Methods, apparatuses, and media for filtering a data stream are provided. The data stream is partitioned into a plurality of data stream segments. An acoustic parameter of each of the data stream segments is measured, and it is determined whether the acoustic parameter of each of the data stream segments satisfies a predetermined condition. Extraneous segments of the data stream segments are identified in which the predetermined condition is satisfied, and it is determined whether the extraneous segments have a predetermined relationship in the data stream. The extraneous segments are deleted from the data stream to produce a filtered data stream in response to the extraneous segments having the predetermined relationship.

    Abstract translation: 提供了用于过滤数据流的方法，设备和介质。 数据流被划分成多个数据流段。 测量每个数据流段的声学参数，并且确定每个数据流段的声学参数是否满足预定条件。 识别数据流段的外部段，其中满足预定条件，并且确定外部段在数据流中是否具有预定关系。 响应于具有预定关系的外部段，从数据流中删除无关段以产生经滤波的数据流。

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