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    System and method for audibly presenting selected text
    41.
    发明授权
    System and method for audibly presenting selected text 有权
    用于可听地呈现所选文本的系统和方法

    公开(公告)号：US09558737B2

    公开(公告)日：2017-01-31

    申请号：US14805328

    申请日：2015-07-21

    Applicant: INTERACTIONS LLC

    Inventor： Alistair D. Conkie ,  Horst Schroeter

    IPC: G10L13/08 ,  G10L13/027 ,  G10L13/04 ,  G06F3/0482 ,  G06F3/0488 ,  G06F3/16 ,  G10L15/22

    CPC classification number: G10L13/08 ,  G06F3/0482 ,  G06F3/0488 ,  G06F3/167 ,  G06F2203/04104 ,  G10L13/027 ,  G10L13/043 ,  G10L15/22 ,  H04M2250/22

    Abstract: Disclosed herein are methods for presenting speech from a selected text that is on a computing device. This method includes presenting text on a touch-sensitive display and having that text size within a threshold level so that the computing device can accurately determine the intent of the user when the user touches the touch screen. Once the user touch has been received, the computing device identifies and interprets the portion of text that is to be selected, and subsequently presents the text audibly to the user.

    Abstract translation: 这里公开的是用于从计算设备上的所选文本呈现语音的方法。 该方法包括在触敏显示器上呈现文本并使该文本大小在阈值水平内，使得当用户触摸触摸屏时计算设备可以准确地确定用户的意图。 一旦接收到用户触摸，计算设备就识别和解释要被选择的文本部分，并随后向用户呈现可听见的文本。

    System and method for recognizing speech with dialect grammars
    44.
    发明授权
    System and method for recognizing speech with dialect grammars 有权

    公开(公告)号：US09361880B2

    公开(公告)日：2016-06-07

    申请号：US14735035

    申请日：2015-06-09

    Applicant: Interactions LLC.

    Inventor： Gregory Pulz ,  Harry E. Blanchard ,  Steven H. Lewis ,  Lan Zhang

    IPC: G10L15/00 ,  G10L15/18 ,  G06F17/20 ,  G10L15/19 ,  G10L15/183

    CPC classification number: G10L15/19 ,  G10L15/005 ,  G10L15/1822 ,  G10L15/183

    Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable media for recognizing speech. The method includes receiving speech from a user, perceiving at least one speech dialect in the received speech, selecting at least one grammar from a plurality of optimized dialect grammars based on at least one score associated with the perceived speech dialect and the perceived at least one speech dialect, and recognizing the received speech with the selected at least one grammar. Selecting at least one grammar can be further based on a user profile. Multiple grammars can be blended. Predefined parameters can include pronunciation differences, vocabulary, and sentence structure. Optimized dialect grammars can be domain specific. The method can further include recognizing initial received speech with a generic grammar until an optimized dialect grammar is selected. Selecting at least one grammar from a plurality of optimized dialect grammars can be based on a certainty threshold.

    System and method for standardized speech recognition infrastructure
    45.
    发明授权
    System and method for standardized speech recognition infrastructure 有权

    公开(公告)号：US09336773B2

    公开(公告)日：2016-05-10

    申请号：US14701535

    申请日：2015-05-01

    Applicant: Interactions LLC

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

    IPC: G10L15/06 ,  G10L15/07 ,  G10L15/08

    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.

    System And Method For Enhancing Voice-Enabled Search Based On Automated Demographic Identification
    46.
    发明申请
    System And Method For Enhancing Voice-Enabled Search Based On Automated Demographic Identification 有权
    基于自动人口识别的增强语音搜索的系统和方法

    公开(公告)号：US20160026627A1

    公开(公告)日：2016-01-28

    申请号：US14877709

    申请日：2015-10-07

    Applicant: Interactions LLC

    Inventor： Michael J. Johnston ,  Srinivas Bangalore ,  Junlan Feng ,  Taniya Mishra

    IPC: G06F17/30 ,  G10L15/22

    CPC classification number: G06F17/30026 ,  G06F17/30976 ,  G06F17/30979 ,  G10L15/22 ,  G10L2015/227

    Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for approximating responses to a user speech query in voice-enabled search based on metadata that include demographic features of the speaker. A system practicing the method recognizes received speech from a speaker to generate recognized speech, identifies metadata about the speaker from the received speech, and feeds the recognized speech and the metadata to a question-answering engine. Identifying the metadata about the speaker is based on voice characteristics of the received speech. The demographic features can include age, gender, socio-economic group, nationality, and/or region. The metadata identified about the speaker from the received speech can be combined with or override self-reported speaker demographic information.

    Abstract translation: 本文公开的是基于包括说话者的人口统计特征的元数据的用于在基于语音的搜索中近似对用户语音查询的响应的系统，方法和非暂时计算机可读存储介质。 实施该方法的系统识别来自扬声器的接收到的语音以产生识别的语音，从接收到的语音识别关于说话者的元数据，并将识别的语音和元数据馈送到问答引擎。 识别关于扬声器的元数据是基于所接收语音的语音特征。 人口特征可以包括年龄，性别，社会经济群体，国籍和/或地区。 从接收到的语音中识别的关于说话者的元数据可以与自报告的说话者人口统计信息进行组合或覆盖。

    METHODS, APPARATUS AND ARTICLES OF MANUFACTURE TO MANAGE ROUTING IN NETWORKS
    47.
    发明申请
    METHODS, APPARATUS AND ARTICLES OF MANUFACTURE TO MANAGE ROUTING IN NETWORKS 审中-公开
    方法，设备和网络管理路由的制造方法

    公开(公告)号：US20150271051A1

    公开(公告)日：2015-09-24

    申请号：US14734448

    申请日：2015-06-09

    Applicant: Interactions LLC

    Inventor： Zhiqiang Qian ,  Michael Zinnikas ,  Jackson Liu

    IPC: H04L12/751 ,  H04L12/805 ,  H04L12/24 ,  H04L12/729

    CPC classification number: H04L45/02 ,  H04L41/0806 ,  H04L45/04 ,  H04L45/12 ,  H04L45/124 ,  H04L45/125 ,  H04L47/36

    Abstract: Example methods, apparatus and articles to manage routing in networks are disclosed. A disclosed example method includes identifying a first network element associated with a problematic network element; identifying a first maximum transmission unit of the first network element and a second maximum transmission unit of the problematic network element; determining whether the first and second maximum transmission units are different; and when the first and second maximum transmission units are different, identifying a value of a greater one of the first and second maximum transmission units and configuring the first network element and the problematic network element to each have the identified value.

    Abstract translation: 公开了用于管理网络中的路由的示例性方法，装置和文章。 所公开的示例性方法包括：识别与有问题的网络元件相关联的第一网络元件; 识别第一网元的第一最大传输单元和有问题网元的第二最大传输单元; 确定所述第一和第二最大传输单元是否不同; 并且当所述第一和第二最大传输单元不同时，识别所述第一和第二最大传输单元中的较大一个的值并且将所述第一网络元件和所述有问题的网络元件配置为具有所识别的值。

    Hierarchical speech recognition decoder
    50.
    发明授权
    Hierarchical speech recognition decoder 有权

    公开(公告)号：US10482876B2

    公开(公告)日：2019-11-19

    申请号：US16148884

    申请日：2018-10-01

    Applicant: Interactions LLC

    Inventor： Ethan Selfridge ,  Michael Johnston

    IPC: G06F17/27 ,  G10L15/197 ,  G10L15/02 ,  G10L15/06

    Abstract: A speech interpretation module interprets the audio of user utterances as sequences of words. To do so, the speech interpretation module parameterizes a literal corpus of expressions by identifying portions of the expressions that correspond to known concepts, and generates a parameterized statistical model from the resulting parameterized corpus. When speech is received the speech interpretation module uses a hierarchical speech recognition decoder that uses both the parameterized statistical model and language sub-models that specify how to recognize a sequence of words. The separation of the language sub-models from the statistical model beneficially reduces the size of the literal corpus needed for training, reduces the size of the resulting model, provides more fine-grained interpretation of concepts, and improves computational efficiency by allowing run-time incorporation of the language sub-models.

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