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1. 发明申请

US20130090921A1 PRONUNCIATION LEARNING FROM USER CORRECTION 有权
标题翻译：从用户校正中获取知识
公开(公告)号：US20130090921A1
公开(公告)日：2013-04-11
申请号：US13268281
申请日：2011-10-07
申请人： Wei-Ting Frank Liu , Andrew Lovitt , Stefanie Tomko , Yun-Cheng Ju
发明人： Wei-Ting Frank Liu , Andrew Lovitt , Stefanie Tomko , Yun-Cheng Ju
IPC分类号： G06F17/21
CPC分类号： G10L15/063 , G10L15/22 , G10L2015/0638 , G10L2015/221
摘要： Systems and methods are described for adding entries to a custom lexicon used by a speech recognition engine of a speech interface in response to user interaction with the speech interface. In one embodiment, a speech signal is obtained when the user speaks a name of a particular item to be selected from among a finite set of items. If a phonetic description of the speech signal is not recognized by the speech recognition engine, then the user is presented with a means for selecting the particular item from among the finite set of items by providing input in a manner that does not include speaking the name of the item. After the user has selected the particular item via the means for selecting, the phonetic description of the speech signal is stored in association with a text description of the particular item in the custom lexicon.
摘要翻译：描述了系统和方法，用于将响应于用户与语音界面的交互的条目添加到由语音界面的语音识别引擎使用的定制词典中。在一个实施例中，当用户说出要从有限项目集合中选择的特定项目的名称时，获得语音信号。如果语音信号的语音描述不被语音识别引擎识别，那么向用户提供一种用于通过以不包括说出名字的方式提供输入来从有限项目集合中选择特定项目的装置的项目。在用户通过选择装置选择特定项目之后，与定制词典中特定项目的文本描述相关联地存储语音信号的语音描述。

2. 发明授权

US08090738B2 Multi-modal search wildcards 有权
标题翻译：多模式搜索通配符
公开(公告)号：US08090738B2
公开(公告)日：2012-01-03
申请号：US12200625
申请日：2008-08-28
申请人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
发明人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3064 , G10L15/26
摘要： A multi-modal search system (and corresponding methodology) that employs wildcards is provided. Wildcards can be employed in the search query either initiated by the user or inferred by the system. These wildcards can represent uncertainty conveyed by a user in a multi-modal search query input. In examples, the words “something” or “whatchamacallit” can be used to convey uncertainty and partial knowledge about portions of the query and to dynamically trigger wildcard generation.
摘要翻译：提供了采用通配符的多模态搜索系统（以及相应的方法）。通配符可以由用户发起或由系统推断的搜索查询中使用。这些通配符可以表示用户在多模态搜索查询输入中传达的不确定性。在例子中，单词“something”或“whatchamacallit”可用于传达有关部分查询的不确定性和部分知识，并动态触发通配符生成。

3. 发明申请

US20110314003A1 TEMPLATE CONCATENATION FOR CAPTURING MULTIPLE CONCEPTS IN A VOICE QUERY 审中-公开
标题翻译：用于在语音查询中捕获多种概念的模板化
公开(公告)号：US20110314003A1
公开(公告)日：2011-12-22
申请号：US12817233
申请日：2010-06-17
申请人： Yun-Cheng Ju , Wei Wu , Ye-Yi Wang , Xiao Li
发明人： Yun-Cheng Ju , Wei Wu , Ye-Yi Wang , Xiao Li
IPC分类号： G06F17/30
CPC分类号： G10L15/06 , G06F16/3329 , G06F16/951 , G10L15/1822
摘要： Architecture that provides the capability to identify which parts (terms and phrases) of a voice query have been covered by predefined phrase templates, and then to concatenate matching phrase templates into a new paraphrased query. A match-drop-continue algorithm is disclosed that progressively masks out the portions (phrases, terms) of the query matched to the phrase templates. Ultimately, the matched phrase templates are accumulated and organized together dynamically into a rephrased version of the original voice query. A user interface is provided that allows the user to confirm/summarize the multiple concepts in a progressive manner.
摘要翻译：提供识别语音查询的哪些部分（术语和短语）已经被预定义的短语模板覆盖的能力的架构，然后将匹配短语模板连接成新的释义查询。公开了逐行掩蔽与短语模板匹配的查询的部分（短语，术语）的匹配 - 丢弃 - 继续算法。最终，匹配的短语模板被积累并且一起动态地组织成原始语音查询的转换版本。提供了一种用户界面，允许用户以渐进的方式确认/总结多个概念。

4. 发明授权

US07983913B2 Understanding spoken location information based on intersections 有权
标题翻译：了解基于交点的口语位置信息
公开(公告)号：US07983913B2
公开(公告)日：2011-07-19
申请号：US11888275
申请日：2007-07-31
申请人： Michael L. Seltzer , Yun-Cheng Ju , Ivan J. Tashev
发明人： Michael L. Seltzer , Yun-Cheng Ju , Ivan J. Tashev
IPC分类号： G10L15/04
CPC分类号： G10L15/1815 , G10L15/193
摘要： In one embodiment, the present system recognizes a user's speech input using an automatically generated probabilistic context free grammar for street names that maps all pronunciation variations of a street name to a single canonical representation during recognition. A tokenizer expands the representation using position-dependent phonetic tokens and an intersection classifier classifies an intersection, despite the presence of recognition errors and incomplete street names.
摘要翻译：在一个实施例中，本系统使用针对街道名称的自动产生的概率上下文无关语法来识别用户的语音输入，其在识别期间将街道名称的所有发音变体映射到单个规范表示。令牌化器使用位置相关的语音令牌来扩展表示，尽管存在识别错误和不完整的街道名称，交叉分类器对交点进行了分类。

5. 发明申请

US20100100384A1 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：US20100100384A1
公开(公告)日：2010-04-22
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语形式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。

6. 发明授权

US07636657B2 Method and apparatus for automatic grammar generation from data entries 失效
标题翻译：从数据输入中自动语法生成的方法和装置
公开(公告)号：US07636657B2
公开(公告)日：2009-12-22
申请号：US11007880
申请日：2004-12-09
申请人： Yun-Cheng Ju , David G. Ollason , Siddharth Bhatia
发明人： Yun-Cheng Ju , David G. Ollason , Siddharth Bhatia
IPC分类号： G06F17/21
CPC分类号： G10L15/063 , G10L15/193
摘要： A method of generating an optimized grammar, for use in speech recognition, from a data set or big list of items, is disclosed. The method includes the steps of obtaining a tree representing items in the data set, and generating the grammar using the tree. The tree or tree data structure representing items in the data set is a simulated recognition search tree, representing items in the data set, which can be automatically generated from the data set.
摘要翻译：公开了一种从数据集或大项目列表中产生用于语音识别的优化语法的方法。该方法包括以下步骤：获得表示数据集中的项目的树，并使用该树生成语法。表示数据集中项目的树或树数据结构是表示可以从数据集中自动生成的数据集中的项目的模拟识别搜索树。

7. 发明授权

US07623651B2 Context retention across multiple calls in a telephone interaction system 有权
标题翻译：在电话交互系统中的多个呼叫的上下文保持
公开(公告)号：US07623651B2
公开(公告)日：2009-11-24
申请号：US10938714
申请日：2004-09-10
申请人： Yun-Cheng Ju , David G. Ollason , Siddharth Bhatia
发明人： Yun-Cheng Ju , David G. Ollason , Siddharth Bhatia
IPC分类号： H04M3/00 , H04M5/00
CPC分类号： H04M3/5166 , H04M3/42059 , H04M3/5235 , H04M2203/551
摘要： A method of providing information to a user in a telephone interactive system includes receiving a new call. A comparison is then made between an identifier associated with the new call with stored call information pertaining to previous calls. If the identifier associated with the new call matches an identifier associated with a previous call, a subsequent action taken in the new call is based on context information stored from the previous call.
摘要翻译：在电话交互系统中向用户提供信息的方法包括接收新的呼叫。然后，将与新呼叫相关联的标识符与存储的与先前呼叫有关的呼叫信息进行比较。如果与新呼叫相关联的标识符与与先前呼叫相关联的标识匹配，则在新呼叫中采取的后续动作基于从先前呼叫存储的上下文信息。

8. 发明申请

US20090287681A1 MULTI-MODAL SEARCH WILDCARDS 有权
标题翻译：多模式搜索WILDCARDS
公开(公告)号：US20090287681A1
公开(公告)日：2009-11-19
申请号：US12200625
申请日：2008-08-28
申请人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
发明人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
IPC分类号： G06F17/30 , G10L15/06
CPC分类号： G06F17/3064 , G10L15/26
摘要： A multi-modal search system (and corresponding methodology) that employs wildcards is provided. Wildcards can be employed in the search query either initiated by the user or inferred by the system. These wildcards can represent uncertainty conveyed by a user in a multi-modal search query input. In examples, the words “something” or “whatchamacallit” can be used to convey uncertainty and partial knowledge about portions of the query and to dynamically trigger wildcard generation.
摘要翻译：提供了采用通配符的多模态搜索系统（以及相应的方法）。通配符可以由用户发起或由系统推断的搜索查询中使用。这些通配符可以表示用户在多模态搜索查询输入中传达的不确定性。在例子中，单词“something”或“whatchamacallit”可用于传达有关部分查询的不确定性和部分知识，并动态触发通配符生成。

9. 发明申请

US20080177545A1 Automatic reading tutoring with parallel polarized language modeling 有权
标题翻译：使用平行极化语言建模的自动阅读辅导
公开(公告)号：US20080177545A1
公开(公告)日：2008-07-24
申请号：US11655702
申请日：2007-01-19
申请人： Xiaolong Li , Yun-Cheng Ju , Li Deng , Alejandro Acero
发明人： Xiaolong Li , Yun-Cheng Ju , Li Deng , Alejandro Acero
IPC分类号： G10L15/28
CPC分类号： G06F17/271 , G09B17/003 , G10L15/197 , G10L2015/221
摘要： A novel system for automatic reading tutoring provides effective error detection and reduced false alarms combined with low processing time burdens and response times short enough to maintain a natural, engaging flow of interaction. According to one illustrative embodiment, an automatic reading tutoring method includes displaying a text output and receiving an acoustic input. The acoustic input is modeled with a domain-specific target language model specific to the text output, and with a general-domain garbage language model, both of which may be efficiently constructed as context-free grammars. The domain-specific target language model may be built dynamically or “on-the-fly” based on the currently displayed text (e.g. the story to be read by the user), while the general-domain garbage language model is shared among all different text outputs. User-perceptible tutoring feedback is provided based on the target language model and the garbage language model.
摘要翻译：用于自动阅读辅导的新颖系统提供了有效的错误检测和减少的假警报以及较短的处理时间负担和响应时间足够短以保持自然的，互动的互动流。根据一个说明性实施例，自动阅读辅导方法包括显示文本输出并接收声输入。声输入是用专门针对文本输出的领域特定的目标语言模型建立的，并且具有通用域垃圾语言模型，这两种语言模型都可以被有效地构建为无上下文的语法。可以基于当前显示的文本（例如，用户要阅读的故事）动态地或“即时”地构建特定领域的目标语言模型，而一般域垃圾语言模型在所有不同的方式之间共享文本输出。基于目标语言模型和垃圾语言模型提供了用户可感知的辅导反馈。

10. 发明申请

US20080147400A1 Adapting a language model to accommodate inputs not found in a directory assistance listing 有权
标题翻译：适应语言模型以适应在目录帮助列表中找不到的输入
公开(公告)号：US20080147400A1
公开(公告)日：2008-06-19
申请号：US11642003
申请日：2006-12-19
申请人： Dong Yu , Alejandro Acero , Yun-Cheng Ju
发明人： Dong Yu , Alejandro Acero , Yun-Cheng Ju
IPC分类号： G10L15/04
CPC分类号： G10L15/063 , G10L15/197
摘要： A statistical language model is trained for use in a directory assistance system using the data in a directory assistance listing corpus. Calculations are made to determine how important words in the corpus are in distinguishing a listing from other listings, and how likely words are to be omitted or added by a user. The language model is trained using these calculations.
摘要翻译：训练统计语言模型，以使用目录援助列表语料库中的数据在目录辅助系统中使用。进行计算，以确定语料库中的单词在区分列表和其他列表中的重要程度以及用户可能忽略或添加单词的可能性。使用这些计算训练语言模型。

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