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    System and method of automating a spoken dialogue service
    1.
    发明授权
    System and method of automating a spoken dialogue service 有权
    自动化口语对话服务的系统和方法

    公开(公告)号：US08566102B1

    公开(公告)日：2013-10-22

    申请号：US10288764

    申请日：2002-11-06

    申请人： Srinivas Bangalore ,  Junlan Feng ,  Mazin G Rahim

    发明人： Srinivas Bangalore ,  Junlan Feng ,  Mazin G Rahim

    IPC分类号： G10L21/00

    CPC分类号： G10L15/22 ,  G10L2015/228

    摘要： A system and method of generating and operating a spoken dialog service for a web-site are disclosed. The system parses web-site data and organizes the web-site data in a task knowledge data bank. The system receives text associated with a user query; processes the received text in a spoken language understanding (SLU) module, the SLU module using the web-site data from the task knowledge data bank; generates a ranked list of relevant responses to the user query; generates a hierarchical tree using the web-site data and the ranked list of relevant responses to the user query, generates a response to the user query using the hierarchical tree; and presents the response to the user.

    摘要翻译： 公开了一种用于生成和操作用于网站的口语对话服务的系统和方法。 系统解析网站数据，并在任务知识数据库中组织网站数据。 系统接收与用户查询相关联的文本; 处理使用来自任务知识数据库的网站数据的口语理解（SLU）模块中的接收到的文本，SLU模块; 生成用户查询的相关响应的排名列表; 使用网站数据和与用户查询的相关响应的排名列表来生成分层树，使用分层树生成对用户查询的响应; 并向用户呈现响应。

    System and method of extracting clauses for spoken language understanding
    2.
    发明授权
    System and method of extracting clauses for spoken language understanding 有权
    提取语言理解条款的系统和方法

    公开(公告)号：US08818793B1

    公开(公告)日：2014-08-26

    申请号：US10446489

    申请日：2003-05-28

    申请人： Srinivas Bangalore ,  Narendra K. Gupta ,  Mazin G Rahim

    发明人： Srinivas Bangalore ,  Narendra K. Gupta ,  Mazin G Rahim

    IPC分类号： G06F17/27

    CPC分类号： G10L15/063 ,  G06F17/271 ,  G06F17/277 ,  G10L2015/0635

    摘要： A clausifier and method of extracting clauses for spoken language understanding are disclosed. The method relates to generating a set of clauses from speech utterance text and comprises inserting at least one boundary tag in speech utterance text related to sentence boundaries, inserting at least one edit tag indicating a portion of the speech utterance text to remove, and inserting at least one conjunction tag within the speech utterance text. The result is a set of clauses that may be identified within the speech utterance text according to the inserted at least one boundary tag, at least one edit tag and at least one conjunction tag. The disclosed clausifier comprises a sentence boundary classifier, an edit detector classifier, and a conjunction detector classifier. The clausifier may comprise a single classifier or a plurality of classifiers to perform the steps of identifying sentence boundaries, editing text, and identifying conjunctions within the text.

    摘要翻译： 公开了一种提取语言理解条款的分类器和方法。 该方法涉及从语音话语文本生成一组子句，并且包括在与句子边界相关的语音话语文本中插入至少一个边界标签，插入至少一个编辑标签，该编辑标签指示语音话语文本的一部分以去除并插入 讲话话语文本内的至少一个连接标签。 结果是可以根据插入的至少一个边界标签，至少一个编辑标签和至少一个连接标签在语音发音文本内识别的一组子句。 所公开的分类器包括句子边界分类器，编辑检测器分类器和连接检测器分类器。 克隆器可以包括单个分类器或多个分类器，以执行识别句子边界，编辑文本以及识别文本内的连词的步骤。

    System and method of spoken language understanding in human computer dialogs
    3.
    发明授权
    System and method of spoken language understanding in human computer dialogs 有权
    在人机对话中口语理解的系统和方法

    公开(公告)号：US08190436B2

    公开(公告)日：2012-05-29

    申请号：US10310596

    申请日：2002-12-05

    申请人： Srinivas Bangalore ,  Narendra K. Gupta ,  Mazin G Rahim

    发明人： Srinivas Bangalore ,  Narendra K. Gupta ,  Mazin G Rahim

    IPC分类号： G10L21/00 ,  G06F17/20 ,  G06F17/27

    CPC分类号： G10L15/1815 ,  G06F17/2785 ,  G10L13/043 ,  G10L15/02 ,  G10L15/1822 ,  G10L15/265

    摘要： A system and method are disclosed that improve automatic speech recognition in a spoken dialog system. The method comprises partitioning speech recognizer output into self-contained clauses, identifying a dialog act in each of the self-contained clauses, qualifying dialog acts by identifying a current domain object and/or a current domain action, and determining whether further qualification is possible for the current domain object and/or current domain action. If further qualification is possible, then the method comprises identifying another domain action and/or another domain object associated with the current domain object and/or current domain action, reassigning the another domain action and/or another domain object as the current domain action and/or current domain object and then recursively qualifying the new current domain action and/or current object. This process continues until nothing is left to qualify.

    摘要翻译： 公开了一种提高口语对话系统中的自动语音识别的系统和方法。 该方法包括将语音识别器输出划分为独立子句，识别每个自包含子句中的对话行为，通过识别当前域对象和/或当前域动作进行限定对话行为，以及确定是否可进一步限定 对于当前域对象和/或当前域操作。 如果可以进一步鉴定，则该方法包括识别与当前域对象和/或当前域操作相关联的另一域操作和/或另一域对象，将另一域操作和/或另一域对象重新分配为当前域操作，以及 /或当前域对象，然后递归地限定新的当前域操作和/或当前对象。 这个过程一直持续到没有什么是剩下的资格。

    Active learning process for spoken dialog systems
    5.
    发明授权
    Active learning process for spoken dialog systems 有权
    口语对话系统的主动学习过程

    公开(公告)号：US07562014B1

    公开(公告)日：2009-07-14

    申请号：US11862008

    申请日：2007-09-26

    申请人： Dilek Z Hakkani-Tur ,  Mazin G Rahim ,  Giuseppe Riccardi ,  Gokhan Tur

    发明人： Dilek Z Hakkani-Tur ,  Mazin G Rahim ,  Giuseppe Riccardi ,  Gokhan Tur

    IPC分类号： G06F17/27 ,  G10L15/00

    CPC分类号： G06F17/2775 ,  G06F17/277 ,  G10L2015/0631

    摘要： A large amount of human labor is required to transcribe and annotate a training corpus that is needed to create and update models for automatic speech recognition (ASR) and spoken language understanding (SLU). Active learning enables a reduction in the amount of transcribed and annotated data required to train ASR and SLU models. In one aspect of the present invention, an active learning ASR process and active learning SLU process are coupled, thereby enabling further efficiencies to be gained relative to a process that maintains an isolation of data in both the ASR and SLU domains.

    摘要翻译： 需要大量的人力劳动来转录和注释创建和更新自动语音识别（ASR）和语言理解（SLU）模型所需的训练语料库。 主动学习可以减少训练ASR和SLU模型所需的转录和注释数据量。 在本发明的一个方面，耦合主动学习ASR过程和主动学习SLU过程，从而相对于维持ASR和SLU域中的数据隔离的过程而获得进一步的效率。

    Method of generating a labeling guide for spoken dialog services
    6.
    发明授权
    Method of generating a labeling guide for spoken dialog services 有权
    生成口语对话服务标签指南的方法

    公开(公告)号：US07366655B1

    公开(公告)日：2008-04-29

    申请号：US10405858

    申请日：2003-04-02

    申请人： Narendra K. Gupta ,  Barbara B. Hollister ,  Mazin G Rahim ,  Giuseppe Riccardi

    发明人： Narendra K. Gupta ,  Barbara B. Hollister ,  Mazin G Rahim ,  Giuseppe Riccardi

    IPC分类号： G06F17/27 ,  G06F17/21

    CPC分类号： G06F17/279 ,  G10L15/18 ,  G10L15/183

    摘要： A method is disclosed for designing a labeling guide for use by a labeler in labeling data used for training a spoken language understanding (SLU) module for an application. The method comprises a labeling guide designer selecting domain-independent actions applicable to an application, selecting domain-dependent objects according to characteristics of the application, and generating a labeling guide using the selected domain-independent actions and selected domain-dependent objects. An advantage of the labeling guide generated in this manner is that the labeling guide designer can easily port the labeling guide to a new application by selecting a set of domain-independent action and then selecting the domain-dependent objects related to the new application.

    摘要翻译： 公开了一种用于设计标签指南的方法，用于标签机用于标记用于训练用于应用的口语理解（SLU）模块的数据。 该方法包括标签指导者设计者，其选择适用于应用的独立于领域的动作，根据应用的特征来选择依赖于域的对象，以及使用所选择的与域无关的动作和选择的域相关对象来生成标签指南。 以这种方式生成的标签指南的优点是，标签指南设计者可以通过选择一组独立于领域的动作，然后选择与新应用相关的域相关对象，轻松地将标签指南移植到新应用。

    System for handling frequently asked questions in a natural language dialog service
    7.
    发明授权
    System for handling frequently asked questions in a natural language dialog service 有权
    用于在自然语言对话服务中处理常见问题的系统

    公开(公告)号：US07197460B1

    公开(公告)日：2007-03-27

    申请号：US10326692

    申请日：2002-12-19

    申请人： Narendra K. Gupta ,  Mazin G Rahim ,  Giuseppe Riccardi

    发明人： Narendra K. Gupta ,  Mazin G Rahim ,  Giuseppe Riccardi

    IPC分类号： G10L11/00 ,  G10L21/00

    CPC分类号： G10L15/22 ,  G06F3/167

    摘要： A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer the frequently asked question.

    摘要翻译： 公开了支持语音的帮助台服务。 该服务包括用于识别来自用户的语音的自动语音识别模块，用于理解来自自动语音识别模块的输出的口语语言理解模块，用于生成来自用户对语音的响应的对话管理模块，自然语音文本 - 语音合成模块，用于合成语音以产生对用户的响应，以及常见问题模块。 常见问题模块通过改变语音来处理用户的常见问题，并提供预定的提示来回答常见问题。