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71. 发明申请

US20060020464A1 Speech recognition application or server using iterative recognition constraints 有权
标题翻译：语音识别应用或服务器采用迭代识别约束
公开(公告)号：US20060020464A1
公开(公告)日：2006-01-26
申请号：US10897817
申请日：2004-07-23
申请人： Yun-Cheng Ju , David Ollason , Siddharth Bhatia
发明人： Yun-Cheng Ju , David Ollason , Siddharth Bhatia
IPC分类号： G10L15/18
CPC分类号： G10L15/08 , G10L15/183 , G10L2015/228
摘要： A speech recognition application including a recognition module configured to receive input utterances and an application module configured to select a recognition from the speech recognition module using output from a first iteration to select a recognition result for a second iteration. In one embodiment, the application module eliminates a previous rejected recognition result or results from the N-Best list for recognition. In another embodiment, the application module rescores N-Best entries based upon N-Best lists or information from another iteration. In another illustrated embodiment, the application module uses a limited grammar from a current N-Best list for subsequent recognition, for example for rerecognition using a recorded input from a previous iteration.
摘要翻译：一种语音识别应用，包括被配置为接收输入话音的识别模块和应用模块，该应用模块被配置为使用来自第一迭代的输出从语音识别模块中选择识别，以选择用于第二次迭代的识别结果。在一个实施例中，应用模块消除了先前拒绝的识别结果或来自N-Best列表以用于识别的结果。在另一个实施例中，应用模块基于N-Best列表或来自另一次迭代的信息来分配N-Best条目。在另一示出的实施例中，应用模块使用来自当前N-Best列表的有限语法进行后续识别，例如使用来自先前迭代的记录输入进行重新识别。

72. 发明申请

US20060004574A1 Semantic based validation information in a language model to detect recognition errors and improve dialog performance 审中-公开
标题翻译：基于语义的验证信息，用于检测识别错误并提高对话性能
公开(公告)号：US20060004574A1
公开(公告)日：2006-01-05
申请号：US10881905
申请日：2004-06-30
申请人： Yun-Cheng Ju
发明人： Yun-Cheng Ju
IPC分类号： G10L15/18
CPC分类号： G10L17/22
摘要： A validation routine is integrated into or otherwise closely associated with a language model such as a context-free grammar. The validation routine receives recognition results from a speech recognizer that has used the corresponding grammar to form the recognized results. The validation routine operates upon the recognized results to ascertain legitimate recognition results based on the actual recognition results received rather than on acoustic and/or language model scores commonly used to provide confidence measures.
摘要翻译：验证例程被集成到语言模型中或者与语言模型紧密相关联，例如无上下文的语法。验证例程从语音识别器接收使用相应语法形成识别结果的识别结果。验证程序根据认可的结果进行操作，以根据所获得的实际识别结果确定合法的识别结果，而不是通常用于提供置信度量的声学和/或语言模型得分。

73. 发明授权

US09754585B2 Crowdsourced, grounded language for intent modeling in conversational interfaces 有权
公开(公告)号：US09754585B2
公开(公告)日：2017-09-05
申请号：US13438751
申请日：2012-04-03
申请人： Christopher John Brockett , Piali Choudhury , William Brennan Dolan , Yun-Cheng Ju , Patrick Pantel , Noelle Mallory Sophy , Svitlana Volkova
发明人： Christopher John Brockett , Piali Choudhury , William Brennan Dolan , Yun-Cheng Ju , Patrick Pantel , Noelle Mallory Sophy , Svitlana Volkova
IPC分类号： G10L15/00 , G10L15/18 , G10L15/22
CPC分类号： G10L15/18 , G10L15/22
摘要： Different advantageous embodiments provide a crowdsourcing method for modeling user intent in conversational interfaces. One or more stimuli are presented to a plurality of describers. One or more sets of describer data are captured from the plurality of describers using a data collection mechanism. The one or more sets of describer data are processed to generate one or more models. Each of the one or more models is associated with a specific stimulus from the one or more stimuli.

74. 发明授权

US09460708B2 Automated data cleanup by substitution of words of the same pronunciation and different spelling in speech recognition 有权
标题翻译：通过替换相同发音和语音识别中不同拼写的单词进行自动数据清理
公开(公告)号：US09460708B2
公开(公告)日：2016-10-04
申请号：US12561521
申请日：2009-09-17
申请人： Geoffrey Zweig , Yun-Cheng Ju
发明人： Geoffrey Zweig , Yun-Cheng Ju
IPC分类号： G06F17/20 , G06F17/27 , G10L15/06 , G10L15/187
CPC分类号： G10L15/063 , G06F17/2735 , G10L15/187
摘要： The described implementations relate to automated data cleanup. One system includes a language model generated from language model seed text and a dictionary of possible data substitutions. This system also includes a transducer configured to cleanse a corpus utilizing the language model and the dictionary. The transducer can process speech recognition data in some cases by substituting a second word for a first word which shares pronunciation with the first word but is spelled differently. In some cases, this can be accomplished by establishing corresponding probabilities of the first word and second word based on a third word that appears in sequence with the first word.
摘要翻译：所描述的实现涉及自动数据清理。一个系统包括从语言模型种子文本生成的语言模型和可能的数据替换的字典。该系统还包括配置成利用语言模型和词典清理语料库的换能器。在某些情况下，换能器可以处理语音识别数据，通过将第二个单词替换为与第一个单词共享发音但拼写不同的第一个单词。在一些情况下，这可以通过基于与第一个单词顺序出现的第三个单词建立第一个单词和第二个单词的相应概率来实现。

75. 发明授权

US08838449B2 Word-dependent language model 有权
标题翻译：词依赖语言模型
公开(公告)号：US08838449B2
公开(公告)日：2014-09-16
申请号：US12977461
申请日：2010-12-23
申请人： Yun-Cheng Ju , Ivan J. Tashev , Chad R. Heinemann
发明人： Yun-Cheng Ju , Ivan J. Tashev , Chad R. Heinemann
IPC分类号： G10L15/04 , G06F17/30 , G10L15/19
CPC分类号： G10L15/19
摘要： This document describes word-dependent language models, as well as their creation and use. A word-dependent language model can permit a speech-recognition engine to accurately verify that a speech utterance matches a multi-word phrase. This is useful in many contexts, including those where one or more letters of the expected phrase are known to the speaker.
摘要翻译：本文档描述了依赖于字的语言模型，以及它们的创建和使用。一个与字相关的语言模型可以允许一个语音识别引擎准确地验证一个语音发音是否匹配一个多单词短语。这在许多情况下是有用的，包括说话者知道预期短语的一个或多个字母的情况。

76. 发明授权

US08615388B2 Intra-language statistical machine translation 有权
标题翻译：语言间统计机器翻译
公开(公告)号：US08615388B2
公开(公告)日：2013-12-24
申请号：US12058328
申请日：2008-03-28
申请人： Xiao Li , Yun-Cheng Ju , Geoffrey Zweig , Alex Aero
发明人： Xiao Li , Yun-Cheng Ju , Geoffrey Zweig , Alex Aero
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/2827
摘要： Training data may be provided, the training data including pairs of source phrases and target phrases. The pairs may be used to train an intra-language statistical machine translation model, where the intra-language statistical machine translation model, when given an input phrase of text in the human language, can compute probabilities of semantic equivalence of the input phrase to possible translations of the input phrase in the human language. The statistical machine translation model may be used to translate between queries and listings. The queries may be text strings in the human language submitted to a search engine. The listing strings may be text strings of formal names of real world entities that are to be searched by the search engine to find matches for the query strings.
摘要翻译：可以提供训练数据，训练数据包括源短语和目标短语对。这些对可以用于训练语言间统计机器翻译模型，其中语言内统计机器翻译模型在给予人类语言的文本的输入短语时可以计算输入短语的语义等同性的可能性输入短语在人类语言中的翻译。统计机器翻译模型可用于在查询和列表之间进行翻译。查询可以是提交给搜索引擎的人类语言中的文本字符串。列表字符串可以是要由搜索引擎搜索以查找查询字符串的匹配的真实世界实体的正式名称的文本串。

77. 发明授权

US08364487B2 Speech recognition system with display information 有权
标题翻译：具有显示信息的语音识别系统
公开(公告)号：US08364487B2
公开(公告)日：2013-01-29
申请号：US12255270
申请日：2008-10-21
申请人： Yun-Cheng Ju , Julian J. Odell
发明人： Yun-Cheng Ju , Julian J. Odell
IPC分类号： G10L15/18
CPC分类号： G10L15/22 , G10L15/19
摘要： A language processing system may determine a display form of a spoken word by analyzing the spoken form using a language model that includes dictionary entries for display forms of homonyms. The homonyms may include trade names as well as given names and other phrases. The language processing system may receive spoken language and produce a display form of the language while displaying the proper form of the homonym. Such a system may be used in search systems where audio input is converted to a graphical display of a portion of the spoken input.
摘要翻译：语言处理系统可以通过使用包括用于同音异构的显示形式的字典条目的语言模型来分析口头表单来确定口语单词的显示形式。同音异义可能包括商品名称以及给定的名称和其他短语。语言处理系统可以接收口语，并产生语言的显示形式，同时显示适当形式的同音异义。这样的系统可以用在搜索系统中，其中音频输入被转换为口语输入的一部分的图形显示。

78. 发明申请

US20120323967A1 Spelling Using a Fuzzy Pattern Search 审中-公开
标题翻译：拼写使用模糊模式搜索
公开(公告)号：US20120323967A1
公开(公告)日：2012-12-20
申请号：US13159442
申请日：2011-06-14
申请人： Yun-Cheng Ju , Ivan J. Tashev , Xiao Li , Dax Hawkins , Thomas Soemo , Michael H. Kim
发明人： Yun-Cheng Ju , Ivan J. Tashev , Xiao Li , Dax Hawkins , Thomas Soemo , Michael H. Kim
IPC分类号： G06F17/30
CPC分类号： G06F16/685 , G06F16/93
摘要： A multimedia system configured to receive user input in the form of a spelled character sequence is provided. In one implementation, a spell mode is initiated, and a user spells a character sequence. The multimedia system performs spelling recognition and recognizes a sequence of character representations having a possible ambiguity resulting from any user and/or system errors. The sequence of character representations with the possible ambiguity yields multiple search keys. The multimedia system performs a fuzzy pattern search by scoring each target item from a finite dataset of target items based on the multiple search keys. One or more relevant items are ranked and presented to the user for selection, each relevant item being a target item that exceeds a relevancy threshold. The user selects the indented character sequence from the one or more relevant items.
摘要翻译：提供了被配置为以拼写字符序列的形式接收用户输入的多媒体系统。在一个实现中，启动拼写模式，并且用户拼写字符序列。多媒体系统执行拼写识别并识别由任何用户和/或系统错误导致的可能的模糊性的字符表示序列。具有可能模糊性的字符表示序列产生多个搜索关键字。多媒体系统通过基于多个搜索关键词从目标物品的有限数据集中对每个目标物品进行评分来执行模糊模式搜索。将一个或多个相关项目排序并呈现给用户进行选择，每个相关项目是超过相关阈值的目标项目。用户从一个或多个相关项目中选择缩进的字符序列。

79. 发明申请

US20120166196A1 Word-Dependent Language Model 有权
标题翻译：词语相关语言模型
公开(公告)号：US20120166196A1
公开(公告)日：2012-06-28
申请号：US12977461
申请日：2010-12-23
申请人： Yun-Cheng Ju , Ivan J. Tashev , Chad R. Heinemann
发明人： Yun-Cheng Ju , Ivan J. Tashev , Chad R. Heinemann
IPC分类号： G10L15/04
CPC分类号： G10L15/19
摘要： This document describes word-dependent language models, as well as their creation and use. A word-dependent language model can permit a speech-recognition engine to accurately verify that a speech utterance matches a multi-word phrase. This is useful in many contexts, including those where one or more letters of the expected phrase are known to the speaker.
摘要翻译：本文档描述了依赖于字的语言模型，以及它们的创建和使用。一个与字相关的语言模型可以允许一个语音识别引擎准确地验证一个语音发音是否匹配一个多单词短语。这在许多情况下是有用的，包括说话者知道预期短语的一个或多个字母的情况。

80. 发明授权

US08065078B2 Conveying locations in spoken dialog systems 有权
标题翻译：在口语对话系统中传送位置
公开(公告)号：US08065078B2
公开(公告)日：2011-11-22
申请号：US11836955
申请日：2007-08-10
申请人： Ivan Tashev , Michael Lewis Seltzer , Yun-Cheng Ju , Alex Acero
发明人： Ivan Tashev , Michael Lewis Seltzer , Yun-Cheng Ju , Alex Acero
IPC分类号： G01C21/00 , G08G1/123
CPC分类号： G01C21/3644 , G01C21/3679
摘要： The presentation of location information to a user that is distracted by traveling can result in the user quickly forgetting, or never even comprehending, key parts of the location information, such as the street number. Identification can be made of intersections and points of interest near the user's destination, which can then be provided instead of, or in addition to, the address, thereby increasing user comprehension and retention, especially when distracted. Map data can be parsed into addresses, intersections and points of interest databases. These databases can be accessed to identify proximate intersections and points of interest, which can then be filtered and subsequently ranked to identify one intersection, one point of interest, or both, that can be presented to the user to aid the user in comprehending and retaining the location information even when distracted.
摘要翻译：通过旅行分散给用户的位置信息的呈现可能导致用户快速地忘记甚至不理解诸如街道号码的位置信息的关键部分。识别可以由用户目的地附近的交叉点和兴趣点组成，然后可以提供地址，也可以除了地址之外提供，从而增加用户理解和保留，特别是在分心时。地图数据可以解析为地址，交叉点和兴趣点数据库。可以访问这些数据库以识别最近的交叉点和兴趣点，然后可以对这些数据进行过滤并随后进行排序以识别一个交点，一个兴趣点或二者，可以呈现给用户以帮助用户理解和保留位置信息即使分心。

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