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    Methods and Apparatus for Use in Speech Recognition Systems for Identifying Unknown Words and for Adding Previously Unknown Words to Vocabularies and Grammars of Speech Recognition Systems
    2.
    发明申请
    Methods and Apparatus for Use in Speech Recognition Systems for Identifying Unknown Words and for Adding Previously Unknown Words to Vocabularies and Grammars of Speech Recognition Systems 有权
    用于识别未知词语的语音识别系统中使用的方法和装置，以及将以前未知的词添加到语音识别系统的语义和语法

    公开(公告)号：US20080270136A1

    公开(公告)日：2008-10-30

    申请号：US12133762

    申请日：2008-06-05

    申请人： Sabine Deligne ,  Ramesh A. Gopinath ,  Dimitri Kanevsky ,  Mahesh Viswanathan

    发明人： Sabine Deligne ,  Ramesh A. Gopinath ,  Dimitri Kanevsky ,  Mahesh Viswanathan

    IPC分类号： G10L15/18

    CPC分类号： G10L15/19 ,  G10L15/063 ,  G10L15/183 ,  G10L2015/0631

    摘要： The present invention concerns methods and apparatus for identifying and assigning meaning to words not recognized by a vocabulary or grammar of a speech recognition system. In an embodiment of the invention, the word may be in an acoustic vocabulary of the speech recognition system, but may be unrecognized by an embedded grammar of a language model of the speech recognition system. In another embodiment of the invention, the word may not be recognized by any vocabulary associated with the speech recognition system. In embodiments of the invention, at least one hypothesis is generated for an utterance not recognized by the speech recognition system. If the at least one hypothesis meets at least one predetermined criterion, a sword or more corresponding to the at least one hypothesis is added to the vocabulary of the speech recognition system. In other embodiments of the invention, before adding the word to the vocabulary of the speech recognition system, the at least one hypothesis may be presented to the user of the speech recognition system to determine if that is what the used intended when the user spoke.

    摘要翻译： 本发明涉及用于识别和分配对语音识别系统的词汇或语法不被识别的词语的含义的方法和装置。 在本发明的一个实施例中，该词可以在语音识别系统的声学词汇中，但是可能由语音识别系统的语言模型的嵌入语法无法识别。 在本发明的另一个实施例中，该词可能不被与语音识别系统相关联的任何词汇识别。 在本发明的实施例中，为语音识别系统未识别的话语生成至少一个假设。 如果所述至少一个假设满足至少一个预定标准，则将与所述至少一个假设相对应的剑或更多的剑添加到所述语音识别系统的词汇表。 在本发明的其他实施例中，在将单词添加到语音识别系统的词汇表之前，可以将该至少一个假设呈现给语音识别系统的用户，以确定当用户说话时所使用的意图是什么。

    EM algorithm for convolutive independent component analysis (CICA)
    5.
    发明授权
    EM algorithm for convolutive independent component analysis (CICA) 失效
    用于卷积独立分量分析（cica）的Em算法

    公开(公告)号：US06622117B2

    公开(公告)日：2003-09-16

    申请号：US09855069

    申请日：2001-05-14

    申请人： Sabine Deligne ,  Ramesh A. Gopinath

    发明人： Sabine Deligne ,  Ramesh A. Gopinath

    IPC分类号： H04B1500

    CPC分类号： G06K9/624

    摘要： In connection with blind source separation, proposed herein, inter alia, are: expectation-maximization equations to iteratively estimate unmixing filters and source density parameters in the context of convolutive independent component analysis where the sources are modeled with mixtures of Gaussians; a scheme to estimate the length of unmixing filters; and two alternative initialization schemes.

    摘要翻译： 关于盲源分离，在这里提出的特别是：期望最大化方程式在卷积独立分量分析的上下文中迭代地估计非混合滤波器和源密度参数，其中源以高斯混合物建模; 估计混合滤波器长度的方案; 和两个替代的初始化方案。

    Natural language system and method based on unisolated performance metric
    8.
    发明授权
    Natural language system and method based on unisolated performance metric 有权
    自然语言系统和基于非隔离性能度量的方法

    公开(公告)号：US07574358B2

    公开(公告)日：2009-08-11

    申请号：US11067819

    申请日：2005-02-28

    申请人： Sabine Deligne ,  Yuqing Gao ,  Vaibhava Goel ,  Hong-Kwang Kuo ,  Cheng Wu

    发明人： Sabine Deligne ,  Yuqing Gao ,  Vaibhava Goel ,  Hong-Kwang Kuo ,  Cheng Wu

    IPC分类号： G10L15/00

    CPC分类号： G10L15/18 ,  G10L15/065

    摘要： A natural language business system and method is developed to understand the underlying meaning of a person's speech, such as during a transaction with the business system. The system includes a speech recognition engine, and action classification engine, and a control module. The control module causes the system to execute an inventive method wherein the speech recognition and action classification models may be recursively optimized on an unisolated performance metric that is pertinent to the overall performance of the natural language business system, as opposed to the isolated model-specific criteria previously employed.

    摘要翻译： 开发一种自然语言业务系统和方法，以了解一个人的言论的基本含义，例如在与业务系统的交易期间。 该系统包括语音识别引擎，动作分类引擎和控制模块。 控制模块使得系统执行本发明的方法，其中语音识别和动作分类模型可以针对与自然语言业务系统的整体性能相关的非隔离性能度量递归地优化，而不是孤立的模型特定 以前使用的标准。

    Methods and apparatus for ambient noise removal in speech recognition
    9.
    发明授权
    Methods and apparatus for ambient noise removal in speech recognition 有权
    语音识别中环境噪声去除的方法和装置

    公开(公告)号：US06754623B2

    公开(公告)日：2004-06-22

    申请号：US09774487

    申请日：2001-01-31

    申请人： Sabine Deligne ,  Nagendra K. Goel

    发明人： Sabine Deligne ,  Nagendra K. Goel

    IPC分类号： G10L1102

    CPC分类号： G10L15/20 ,  G10L21/0208

    摘要： Methods and apparatus for enhancing the accuracy and efficacy of speech recognition in an environment, such as the interior of an automobile or home, in which there may be significant ambient noise, such as music from loudspeakers within an automobile or programming from a television within a home.

    摘要翻译： 在诸如汽车或家庭的内部的环境中提高语音识别的准确性和有效性的方法和装置，其中可能存在显着的环境噪声，例如来自汽车内的扬声器的音乐或来自电视机内的电视节目 家。

    METHOD AND APPARATUS FOR PERVASIVE AUTHENTICATION DOMAINS
    10.
    发明申请
    METHOD AND APPARATUS FOR PERVASIVE AUTHENTICATION DOMAINS 有权

    公开(公告)号：US20080141357A1

    公开(公告)日：2008-06-12

    申请号：US11932918

    申请日：2007-10-31

    申请人： Sabine Deligne ,  Chalapathy V. Neti ,  Gerasimos Potamianos

    发明人： Sabine Deligne ,  Chalapathy V. Neti ,  Gerasimos Potamianos

    IPC分类号： H04L9/32

    CPC分类号： H04L63/08 ,  H04L63/0428 ,  H04L63/126

    摘要： Methods and apparatus for enabling a Pervasive Authentication Domain. A Pervasive Authentication Domain allows many registered Pervasive Devices to obtain authentication credentials from a single Personal Authentication Gateway and to use these credentials on behalf of users to enable additional capabilities for the devices. It provides an arrangement for a user to store credentials in one device (the Personal Authentication Gateway), and then make use of those credentials from many authorized Pervasive Devices without re-entering the credentials. It provides a convenient way for a user to share credentials among many devices, particularly when it is not convenient to enter credentials as in a smart wristwatch environment. It further provides an arrangement for disabling access to credentials to devices that appear to be far from the Personal Authentication Gateway as measured by metrics such as communications signal strengths.