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91.发明申请SYSTEM AND METHOD FOR ENRICHING TEXT-TO-SPEECH SYNTHESIS WITH AUTOMATIC DIALOG ACT TAGS 审中-公开用自动对话法则标签增强文本语音合成的系统和方法公开(公告)号：US20130066632A1
公开(公告)日：2013-03-14
申请号：US13232630
申请日：2011-09-14
IPC分类号： G10L13/08
CPC分类号： G10L13/10
摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for modifying the prosody of synthesized speech based on an associated speech act. A system configured according to the method embodiment (1) receives text, (2) performs an analysis of the text to determine and assign a speech act label to the text, and (3) converts the text to speech, where the speech prosody is based on the speech act label. The analysis performed compares the text to a corpus of previously tagged utterances to find a close match, determines a confidence score from a correlation of the text and the close match, and, if the confidence score is above a threshold value, retrieving the speech act label of the close match and assigning it to the text.
摘要翻译： 本文公开了用于基于相关联的语音动作来修改合成语音的韵律的系统，方法和非暂时的计算机可读存储介质。 根据方法实施例（1）配置的系统接收文本，（2）对文本进行分析以确定并分配文本的语音标签，以及（3）将文本转换为语音，其中语音韵律是 基于言语行为标签。 进行的分析将文本与先前标记的话语的语料库进行比较以找到紧密匹配，从文本的相关性和紧密匹配之间确定置信度分数，并且如果置信度分数高于阈值，则检索语音行为 标签的紧密匹配并将其分配给文本。
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公开(公告)号：US08386262B2
公开(公告)日：2013-02-26
申请号：US13481031
申请日：2012-05-25
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.
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93.发明授权公开(公告)号：US08374881B2
公开(公告)日：2013-02-12
申请号：US12324388
申请日：2008-11-26
CPC分类号： G06F17/28 , G06F17/279 , G06F17/289
摘要： Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for enriching spoken language translation with dialog acts. The method includes receiving a source speech signal, tagging dialog acts associated with the received source speech signal using a classification model, dialog acts being domain independent descriptions of an intended action a speaker carries out by uttering the source speech signal, producing an enriched hypothesis of the source speech signal incorporating the dialog act tags, and outputting a natural language response of the enriched hypothesis in a target language. Tags can be grouped into sets such as statement, acknowledgement, abandoned, agreement, question, appreciation, and other. The step of producing an enriched translation of the source speech signal uses a dialog act specific translation model containing a phrase translation table.
摘要翻译： 本文公开了系统，计算机实现的方法和有形计算机可读介质，用于通过对话行为丰富口语翻译。 该方法包括使用分类模型来接收源语音信号，与接收到的源语音信号相关联的标签对话动作，对话体是说话者通过发出源语音信号来执行的预期动作的域独立描述，产生丰富的假设 包含对话行为标签的源语音信号，并以目标语言输出丰富假说的自然语言响应。 标签可以分组，如声明，确认，放弃，协议，问题，升值等。 产生源语音信号的丰富翻译的步骤使用包含短语翻译表的对话行为特定翻译模型。
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公开(公告)号：US20130030788A1
公开(公告)日：2013-01-31
申请号：US13194668
申请日：2011-07-29
IPC分类号： G06F17/28
CPC分类号： G06F17/2845 , G06F17/275 , G06F17/2836 , G06F17/3053 , G06F17/30864 , G06F17/30958
摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for bootstrapping a language translation system. A system configured to practice the method performs a bidirectional web crawl to identify a bilingual website. The system analyzes data on the bilingual website to make a classification decision about whether the root of the bilingual website is an entry point for the bilingual website. The bilingual site can contain pairs of parallel pages. Each pair can include a first website in a first language and a second website in a second language, and a first portion of the first web page corresponds to a second portion of the second web page. Then the system analyzes the first and second web pages to identify corresponding information pairs in the first and second languages, and extracts the corresponding information pairs from the first and second web pages for use in a language translation model.
摘要翻译： 这里公开了用于引导语言翻译系统的系统，方法和非暂时的计算机可读存储介质。 配置为执行该方法的系统执行双向网络爬网以识别双语网站。 系统分析双语网站上的数据，对双语网站的根源是双语网站的切入点进行分类决定。 双语网站可以包含并行页面对。 每对可以包括第一语言的第一网站和第二语言的第二网站，并且第一网页的第一部分对应于第二网页的第二部分。 然后，系统分析第一和第二网页以识别第一和第二语言中的对应信息对，并且从第一和第二网页提取相应的信息对以供在语言翻译模型中使用。
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95.发明申请SYSTEMS AND METHODS FOR EXTRACTING MEANING FROM MULTIMODAL INPUTS USING FINITE-STATE DEVICES 有权使用有限状态设备从多模式输入中提取意义的系统和方法公开(公告)号：US20120303370A1
公开(公告)日：2012-11-29
申请号：US13485574
申请日：2012-05-31
IPC分类号： G10L15/00
CPC分类号： G10L15/00 , G06F3/167 , G06K9/00355 , G10L15/24
摘要： Multimodal utterances contain a number of different modes. These modes can include speech, gestures, and pen, haptic, and gaze inputs, and the like. This invention use recognition results from one or more of these modes to provide compensation to the recognition process of one or more other ones of these modes. In various exemplary embodiments, a multimodal recognition system inputs one or more recognition lattices from one or more of these modes, and generates one or more models to be used by one or more mode recognizers to recognize the one or more other modes. In one exemplary embodiment, a gesture recognizer inputs a gesture input and outputs a gesture recognition lattice to a multimodal parser. The multimodal parser generates a language model and outputs it to an automatic speech recognition system, which uses the received language model to recognize the speech input that corresponds to the recognized gesture input.
摘要翻译： 多模式话语包含多种不同的模式。 这些模式可以包括语音，手势和笔，触觉和注视输入等。 本发明使用这些模式中的一个或多个的识别结果为这些模式中的一个或多个其他模式的识别过程提供补偿。 在各种示例性实施例中，多模式识别系统从这些模式中的一个或多个输入一个或多个识别网格，并且生成要由一个或多个模式识别器使用以识别一个或多个其他模式的一个或多个模型。 在一个示例性实施例中，手势识别器输入手势输入并向多模式解析器输出手势识别格点。 多模式解析器生成语言模型并将其输出到自动语音识别系统，其使用所接收的语言模型来识别对应于识别的手势输入的语音输入。
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96.发明申请Systems and Methods for Extracting Meaning from Multimodal Inputs Using Finite-State Devices 有权使用有限状态设备从多模态输入中提取含义的系统和方法公开(公告)号：US20120116768A1
公开(公告)日：2012-05-10
申请号：US13291427
申请日：2011-11-08
IPC分类号： G10L15/04
CPC分类号： G10L15/00 , G06F3/167 , G06K9/00355 , G10L15/24
摘要： Multimodal utterances contain a number of different modes. These modes can include speech, gestures, and pen, haptic, and gaze inputs, and the like. This invention use recognition results from one or more of these modes to provide compensation to the recognition process of one or more other ones of these modes. In various exemplary embodiments, a multimodal recognition system inputs one or more recognition lattices from one or more of these modes, and generates one or more models to be used by one or more mode recognizers to recognize the one or more other modes. In one exemplary embodiment, a gesture recognizer inputs a gesture input and outputs a gesture recognition lattice to a multimodal parser. The multimodal parser generates a language model and outputs it to an automatic speech recognition system, which uses the received language model to recognize the speech input that corresponds to the recognized gesture input.
摘要翻译： 多模式话语包含多种不同的模式。 这些模式可以包括语音，手势和笔，触觉和注视输入等。 本发明使用这些模式中的一个或多个的识别结果为这些模式中的一个或多个其他模式的识别过程提供补偿。 在各种示例性实施例中，多模式识别系统从这些模式中的一个或多个输入一个或多个识别网格，并且生成要由一个或多个模式识别器使用以识别一个或多个其他模式的一个或多个模型。 在一个示例性实施例中，手势识别器输入手势输入并向多模式解析器输出手势识别格点。 多模式解析器生成语言模型并将其输出到自动语音识别系统，其使用所接收的语言模型来识别对应于识别的手势输入的语音输入。
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97.发明授权Method and apparatus for detecting and extracting information from dynamically generated web pages 有权用于从动态生成的网页中检测和提取信息的方法和装置公开(公告)号：US07877396B1
公开(公告)日：2011-01-25
申请号：US11546967
申请日：2006-10-12
申请人： Srinivas Bangalore , Junlan Feng , Mazin Gilbert
发明人： Srinivas Bangalore , Junlan Feng , Mazin Gilbert
IPC分类号： G06F17/30
CPC分类号： G06F17/3089
摘要： A method and apparatus for automatically detecting and extracting information from dynamically generated web pages are disclosed. For example, the present method stores user provided information that is entered into a form interface of a web page for a first query. Responsive to the first query, a first response web page is received and stored. The present method then automatically generates a second query to acquire a second response web page that is responsive to the second query. Finally, the present method compares the first response web page and the second response web page. In one embodiment, the present invention extracts information that is dissimilar between the first response web page and the second response web page. This extracted information is deemed to be the pertinent information requested by the user.
摘要翻译： 公开了一种用于从动态生成的网页自动检测和提取信息的方法和装置。 例如，本方法将用户提供的信息存储到用于第一查询的网页的表单界面中。 响应于第一个查询，收到并存储第一个响应网页。 本方法然后自动生成第二查询以获取响应于第二查询的第二响应网页。 最后，本方法比较第一响应网页和第二响应网页。 在一个实施例中，本发明提取在第一响应网页和第二响应网页之间不相似的信息。 该提取的信息被认为是用户请求的相关信息。
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公开(公告)号：US07783473B2
公开(公告)日：2010-08-24
申请号：US11647080
申请日：2006-12-28
CPC分类号： G06F17/2818
摘要： Classification of sequences, such as the translation of natural language sentences, is carried out using an independence assumption. The independence assumption is an assumption that the probability of a correct translation of a source sentence word into a particular target sentence word is independent of the translation of other words in the sentence. Although this assumption is not a correct one, a high level of word translation accuracy is nonetheless achieved. In particular, discriminative training is used to develop models for each target vocabulary word based on a set of features of the corresponding source word in training sentences, with at least one of those features relating to the context of the source word. Each model comprises a weight vector for the corresponding target vocabulary word. The weights comprising the vectors are associated with respective ones of the features; each weight is a measure of the extent to which the presence of that feature for the source word makes it more probable that the target word in question is the correct one.
摘要翻译： 使用独立假设进行序列分类，如自然语言句子的翻译。 独立性假设是将源语句正确翻译成特定目标句子词的概率与句子中其他单词的翻译无关的假设。 尽管这种假设不是正确的，但仍然会实现高水平的字翻译精度。 特别地，歧视性训练被用于基于训练句子中相应源词的一组特征来开发每个目标词汇词的模型，其中至少一个与源词的上下文有关的特征。 每个模型包括对应的目标词汇单词的权重向量。 包括向量的权重与相应的特征相关联; 每个权重是衡量源字符的该特征的存在程度使得所述目标词更可能是正确的。
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99.发明授权公开(公告)号：US07778944B2
公开(公告)日：2010-08-17
申请号：US12262299
申请日：2008-10-31
申请人： Srinivas Bangalore
发明人： Srinivas Bangalore
CPC分类号： G06N5/025 , G06F17/27 , G06N5/02 , G06N99/005
摘要： A system, a method, and a machine-readable medium are provided. A group of linear rules and associated weights are provided as a result of machine learning. Each one of the group of linear rules is partitioned into a respective one of a group of types of rules. A respective transducer for each of the linear rules is compiled. A combined finite state transducer is created from a union of the respective transducers compiled from the linear rules.
摘要翻译： 提供了一种系统，方法和机器可读介质。 作为机器学习的结果，提供了一组线性规则和关联权重。 一组线性规则中的每一个被划分成一组类型的规则中的相应的一个。 编译每个线性规则的相应换能器。 从由线性规则编译的各个换能器的联合产生组合的有限状态换能器。
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公开(公告)号：US07562005B1
公开(公告)日：2009-07-14
申请号：US11689749
申请日：2007-03-22
IPC分类号： G06F17/20
CPC分类号： G06F17/271 , G06F17/2881
摘要： A system, method and computer-readable medium for generating natural language utilizes a stochastic process to choose a derivation tree according to a predetermined grammar, such as tree-adjoined grammar (TAG). A word lattice is created from a single semi-specified derivation tree and the proper path (i.e., desired output string) is selected from the lattice using a least cost, or other appropriate algorithms.
摘要翻译： 用于生成自然语言的系统，方法和计算机可读介质利用随机过程根据诸如树相邻语法（TAG）的预定语法来选择导出树。 从单个半指定的导出树创建一个字格，并且使用最小成本或其他适当的算法从网格中选择适当的路径（即期望的输出串）。
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