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    • 2. 发明授权
    • System and method of spoken language understanding in human computer dialogs
    • 在人机对话中口语理解的系统和方法
    • US08190436B2
    • 2012-05-29
    • US10310596
    • 2002-12-05
    • Srinivas BangaloreNarendra K. GuptaMazin G Rahim
    • Srinivas BangaloreNarendra K. GuptaMazin G Rahim
    • G10L21/00G06F17/20G06F17/27
    • G10L15/1815G06F17/2785G10L13/043G10L15/02G10L15/1822G10L15/265
    • 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.
    • 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。
    • 3. 发明申请
    • SYSTEM AND METHOD OF SPOKEN LANGUAGE UNDERSTANDING IN HUMAN COMPUTER DIALOGS
    • 人类语言对话中语言语言理解的系统与方法
    • US20120239383A1
    • 2012-09-20
    • US13481031
    • 2012-05-25
    • Srinivas BangaloreNarendra K. GuptaMazin G. Rahim
    • Srinivas BangaloreNarendra K. GuptaMazin G. Rahim
    • G06F17/27G10L15/00
    • G10L15/1815G06F17/2785G10L13/043G10L15/02G10L15/1822G10L15/265
    • 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.
    • 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,以及确定是否可进行进一步的限定 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。
    • 5. 发明授权
    • System and method of extracting clauses for spoken language understanding
    • 提取语言理解条款的系统和方法
    • US08818793B1
    • 2014-08-26
    • US10446489
    • 2003-05-28
    • Srinivas BangaloreNarendra K. GuptaMazin G Rahim
    • Srinivas BangaloreNarendra K. GuptaMazin G Rahim
    • G06F17/27
    • G10L15/063G06F17/271G06F17/277G10L2015/0635
    • 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.
    • 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。
    • 10. 发明申请
    • Systems and Methods for Targeted Advertising in Voicemail to Text Systems
    • 语音邮件到文本系统中的目标广告系统和方法
    • US20120022950A1
    • 2012-01-26
    • US12843836
    • 2010-07-26
    • Mazin GilbertNarendra K. GuptaDan Melamed
    • Mazin GilbertNarendra K. GuptaDan Melamed
    • G06Q30/00G06F17/27H04M11/00
    • H04M3/53333G06Q30/0241G06Q30/0269G06Q30/0273
    • Systems and methods are provided for a voice message to text system supporting targeted advertisements. Voice messages received from users are converted to raw text messages that are normalized to insert proper punctuation and extract entity information. The normalized text and entity information are processed to extract concepts, such as critical phrases, from the normalized text. Extracted concepts are then matched to advertisements on an advertisement database having user selection criteria. Advertisements having selection criteria matching the extracted concepts are transmitted to the users, and the advertisers that placed the advertisements are charged fees for the advertisements. User profile information and user context information can additionally be used to select advertisements for transmission to users.
    • 系统和方法被提供用于支持目标广告的文本系统的语音消息。 从用户接收的语音消息被转换为原始文本消息,其被标准化以插入适当的标点符号并提取实体信息。 处理归一化的文本和实体信息以从标准化文本中提取概念,例如关键短语。 然后将提取的概念与具有用户选择标准的广告数据库上的广告相匹配。 将具有与所提取的概念相匹配的选择标准的广告传送给用户,并且放置广告的广告商对广告收取费用。 用户简档信息和用户上下文信息可另外用于选择用于传输给用户的广告。