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1. 发明授权

US09576570B2 Method and apparatus for adding new vocabulary to interactive translation and dialogue systems 有权
标题翻译：将新词汇添加到交互式翻译和对话系统的方法和设备
公开(公告)号：US09576570B2
公开(公告)日：2017-02-21
申请号：US12847826
申请日：2010-07-30
申请人： Kristin Precoda , Horacio Franco , Jing Zheng , Michael Frandsen , Victor Abrash , Murat Akbacak , Andreas Stolcke
发明人： Kristin Precoda , Horacio Franco , Jing Zheng , Michael Frandsen , Victor Abrash , Murat Akbacak , Andreas Stolcke
IPC分类号： G10L15/06 , G10L15/193
CPC分类号： G10L15/06 , G10L15/063 , G10L15/193 , G10L2015/0635
摘要： The present invention relates to a method and apparatus for adding new vocabulary to interactive translation and dialog systems. In one embodiment, a method for adding a new word to a vocabulary of an interactive dialog includes receiving an input signal that includes at least one word not currently in the vocabulary, inserting the word into a dynamic component of a search graph associated with the vocabulary, and compiling the dynamic component independently of a permanent component of the search graph to produce a new sub-grammar, where the permanent component comprises a plurality of words that are permanently part of the search graph.
摘要翻译：本发明涉及一种用于将新词汇添加到交互式翻译和对话系统中的方法和装置。在一个实施例中，用于将新单词添加到交互式对话框的词汇表的方法包括接收包括至少一个当前不在词汇表中的单词的输入信号，将单词插入到与词汇表相关联的搜索图表的动态组件中，并且独立于搜索图的永久分量来编译动态分量以产生新的子语法，其中永久分量包括永久成为搜索图的一部分的多个单词。

2. 发明申请

US20060241948A1 Method and apparatus for obtaining complete speech signals for speech recognition applications 有权
公开(公告)号：US20060241948A1
公开(公告)日：2006-10-26
申请号：US11217912
申请日：2005-09-01
申请人： Victor Abrash , Federico Cesari , Horacio Franco , Christopher George , Jing Zheng
发明人： Victor Abrash , Federico Cesari , Horacio Franco , Christopher George , Jing Zheng
IPC分类号： G10L21/00
CPC分类号： G10L25/87
摘要： The present invention relates to a method and apparatus for obtaining complete speech signals for speech recognition applications. In one embodiment, the method continuously records an audio stream comprising a sequence of frames to a circular buffer. When a user command to commence or terminate speech recognition is received, the method obtains a number of frames of the audio stream occurring before or after the user command in order to identify an augmented audio signal for speech recognition processing. In further embodiments, the method analyzes the augmented audio signal in order to locate starting and ending speech endpoints that bound at least a portion of speech to be processed for recognition. At least one of the speech endpoints is located using a Hidden Markov Model.

3. 发明授权

US07610199B2 Method and apparatus for obtaining complete speech signals for speech recognition applications 有权
标题翻译：用于获得用于语音识别应用的完整语音信号的方法和装置
公开(公告)号：US07610199B2
公开(公告)日：2009-10-27
申请号：US11217912
申请日：2005-09-01
申请人： Victor Abrash , Federico Cesari , Horacio Franco , Christopher George , Jing Zheng
发明人： Victor Abrash , Federico Cesari , Horacio Franco , Christopher George , Jing Zheng
IPC分类号： G10L15/14
CPC分类号： G10L25/87
摘要： The present invention relates to a method and apparatus for obtaining complete speech signals for speech recognition applications. In one embodiment, the method continuously records an audio stream comprising a sequence of frames to a circular buffer. When a user command to commence or terminate speech recognition is received, the method obtains a number of frames of the audio stream occurring before or after the user command in order to identify an augmented audio signal for speech recognition processing. In further embodiments, the method analyzes the augmented audio signal in order to locate starting and ending speech endpoints that bound at least a portion of speech to be processed for recognition. At least one of the speech endpoints is located using a Hidden Markov Model.
摘要翻译：本发明涉及一种用于获取语音识别应用的完整语音信号的方法和装置。在一个实施例中，该方法将包括一系列帧的音频流连续地记录到循环缓冲器。当接收到开始或终止语音识别的用户命令时，该方法获得在用户命令之前或之后发生的音频流的数量的数目，以便识别用于语音识别处理的增强音频信号。在另外的实施例中，该方法分析增强的音频信号，以便定位限定待处理的语音的至少一部分的起始和结束语音端点用于识别。使用隐马尔可夫模型来定位至少一个语音端点。

4. 发明授权

US08527270B2 Method and apparatus for conducting an interactive dialogue 有权
标题翻译：进行互动对话的方法和装置
公开(公告)号：US08527270B2
公开(公告)日：2013-09-03
申请号：US12847814
申请日：2010-07-30
申请人： Kristin Precoda , Horacio Franco
发明人： Kristin Precoda , Horacio Franco
IPC分类号： G10L15/00 , G06F17/30
CPC分类号： G06F17/289 , G10L13/00 , G10L15/26
摘要： The present invention relates to a method and apparatus for enhancing interactive translation and dialogue systems. In one embodiment, a method for conducting an interactive dialogue includes receiving an input signal in a first language, where the input signal includes one or more words, processing the words in accordance with a vocabulary, and adjusting a probability relating to at least one of the words in the vocabulary for an output signal. Subsequently, the method may output a translation of the input signal in a second language, in accordance with the vocabulary. In one embodiment, adjusting the probability involves adjusting a probability that the word will be used in actual conversation.
摘要翻译：本发明涉及一种用于增强交互式翻译和对话系统的方法和装置。在一个实施例中，一种用于进行交互对话的方法包括以第一语言接收输入信号，其中输入信号包括一个或多个单词，根据词汇处理单词，以及调整与以下各项中的至少一个有关的概率：输出信号词汇中的单词。随后，该方法可以根据词汇输出第二语言的输入信号的翻译。在一个实施例中，调整概率涉及调整该词在实际对话中将被使用的概率。

5. 发明申请

US20050125224A1 Method and apparatus for fusion of recognition results from multiple types of data sources 审中-公开
标题翻译：用于融合来自多种类型的数据源的识别结果的方法和装置
公开(公告)号：US20050125224A1
公开(公告)日：2005-06-09
申请号：US10983505
申请日：2004-11-08
申请人： Gregory Myers , Harry Bratt , Anand Venkataraman , Andreas Stolcke , Horacio Franco , Venkata Rao Gadde
发明人： Gregory Myers , Harry Bratt , Anand Venkataraman , Andreas Stolcke , Horacio Franco , Venkata Rao Gadde
IPC分类号： G10L15/24 , G10L15/28 , G10L15/00
CPC分类号： G10L15/32 , G10L15/24
摘要： A method and apparatus are provided for fusion of recognition results from multiple types of data sources. In one embodiment, the inventive method implementing a first processing technique to recognize at least a portion of terms contained in a first media source, implementing a second processing technique to recognize at least a portion of terms contained in a second media source that contains a different type of data than that contained in the first media source, and adapting the first processing technique based at least in part on results generated by the second processing technique.
摘要翻译：提供了用于融合来自多种类型的数据源的识别结果的方法和装置。在一个实施例中，本发明的方法实现第一处理技术以识别包含在第一媒体源中的术语的至少一部分，实现第二处理技术以识别包含在包含不同的第二媒体源的第二媒体源中的术语的至少一部分类型的数据比第一媒体源中包含的数据类型，并且至少部分地基于由第二处理技术产生的结果来适配第一处理技术。

6. 发明申请

US20050234723A1 Method and apparatus for performing relational speech recognition 有权
标题翻译：执行关系语音识别的方法和装置
公开(公告)号：US20050234723A1
公开(公告)日：2005-10-20
申请号：US11063357
申请日：2005-02-23
申请人： James Arnold , Michael Frandsen , Anand Venkataraman , Douglas Bercow , Gregory Myers , David Israel , Venkata Gadde , Horacio Franco , Harry Bratt
发明人： James Arnold , Michael Frandsen , Anand Venkataraman , Douglas Bercow , Gregory Myers , David Israel , Venkata Gadde , Horacio Franco , Harry Bratt
IPC分类号： G10L15/06 , G10L15/18
CPC分类号： G10L15/183 , G10L15/065
摘要： A method and apparatus are provided for performing speech recognition using observable and meaningful relationships between words within a single utterance and using a structured data source as a source of constraints on the recognition process. Results from a first constrained speech recognition pass can be combined with information about the observable and meaningful word relationships to constrain or simplify subsequent recognition passes. This iterative process greatly reduces the search space required for each recognition pass, making the speech recognition process more efficient, faster and accurate.
摘要翻译：提供了一种方法和装置，用于使用单个话语中的单词之间的可观察和有意义的关系来执行语音识别，并且使用结构化数据源作为识别过程的约束来源。来自第一约束语音识别通行证的结果可以与关于可观察和有意义的词关系的信息组合以约束或简化后续的识别通行证。这种迭代过程大大减少了每个识别通过所需的搜索空间，使得语音识别过程更加高效，更快速和准确。

7. 发明授权

US07756710B2 Method and apparatus for error correction in speech recognition applications 有权
标题翻译：用于语音识别应用中纠错的方法和装置
公开(公告)号：US07756710B2
公开(公告)日：2010-07-13
申请号：US11486266
申请日：2006-07-13
申请人： Horacio Franco , Gregory Myers , Jing Zheng , Federico Cesari , Cregg Cowan
发明人： Horacio Franco , Gregory Myers , Jing Zheng , Federico Cesari , Cregg Cowan
IPC分类号： G10L15/22
CPC分类号： G10L15/22 , G10L2015/223
摘要： In one embodiment, the present invention is a method and apparatus for error correction in speech recognition applications. In one embodiment, a method for recognizing user speech includes receiving a first utterance from the user, receiving a subsequent utterance from the user, and combining acoustic evidence from the first utterance with acoustic evidence from the subsequent utterance in order to recognize the first utterance. It is assumed that, if the first utterance has been incorrectly recognized on a first attempt, the user will repeat the first utterance (or at least the incorrectly recognized portion of the first utterance) in the subsequent utterance.
摘要翻译：在一个实施例中，本发明是用于语音识别应用中的纠错的方法和装置。在一个实施例中，用于识别用户语音的方法包括从用户接收第一话语，从用户接收随后的话语，以及将来自第一语音的声学证据与来自后续话语的声学证据相结合，以便识别第一语音。假设如果第一次尝试中第一个发音被错误地识别，则用户将在随后的发音中重复第一个发音（或至少是第一个发音的不正确识别的部分）。

8. 发明申请

US20100125458A1 METHOD AND APPARATUS FOR ERROR CORRECTION IN SPEECH RECOGNITION APPLICATIONS 有权
标题翻译：用于语音识别应用中的错误校正的方法和装置
公开(公告)号：US20100125458A1
公开(公告)日：2010-05-20
申请号：US11486266
申请日：2006-07-13
申请人： Horacio Franco , Gregory Myers , Jing Zheng , Federico Cesari , Cregg Cowan
发明人： Horacio Franco , Gregory Myers , Jing Zheng , Federico Cesari , Cregg Cowan
IPC分类号： G10L15/14
CPC分类号： G10L15/22 , G10L2015/223
摘要： In one embodiment, the present invention is a method and apparatus for error correction in speech recognition applications. In one embodiment, a method for recognizing user speech includes receiving a first utterance from the user, receiving a subsequent utterance from the user, and combining acoustic evidence from the first utterance with acoustic evidence from the subsequent utterance in order to recognize the first utterance. It is assumed that, if the first utterance has been incorrectly recognized on a first attempt, the user will repeat the first utterance (or at least the incorrectly recognized portion of the first utterance) in the subsequent utterance.
摘要翻译：在一个实施例中，本发明是用于语音识别应用中的纠错的方法和装置。在一个实施例中，用于识别用户语音的方法包括从用户接收第一话语，从用户接收随后的话语，以及将来自第一语音的声学证据与来自后续话语的声学证据相结合，以便识别第一语音。假设如果第一次尝试中第一个发音被错误地识别，则用户将在随后的发音中重复第一个发音（或至少是第一个发音的不正确识别的部分）。

9. 发明授权

US6055498A Method and apparatus for automatic text-independent grading of pronunciation for language instruction 失效
标题翻译：用于语言教学发音的自动文本独立分级的方法和装置
公开(公告)号：US6055498A
公开(公告)日：2000-04-25
申请号：US942780
申请日：1997-10-02
申请人： Leonardo Neumeyer , Horacio Franco , Mitchel Weintraub , Patti Price , Vassilios Digalakis
发明人： Leonardo Neumeyer , Horacio Franco , Mitchel Weintraub , Patti Price , Vassilios Digalakis
IPC分类号： G09B5/04 , G09B19/04 , G10L15/02 , G10L15/04 , G10L15/10 , G10L15/14 , G10L15/26 , H04L29/06 , G10L15/08
CPC分类号： G09B19/04 , G10L15/04 , G10L15/26 , H04L67/42
摘要： Pronunciation quality is automatically evaluated for an utterance of speech based on one or more pronunciation scores. One type of pronunciation score is based on duration of acoustic units. Examples of acoustic units include phones and syllables. Another type of pronunciation score is based on a posterior probability that a piece of input speech corresponds to a certain model, such as a hidden Markov model, given the piece of input speech. Speech may be segmented into phones and syllable for evaluation with respect to the models. The utterance of speech may be an arbitrary utterance made up of a sequence of words which had not been encountered before. Pronunciation scores are converted into grades as would be assigned by human graders. Pronunciation quality may be evaluated in a client-server language instruction environment.
摘要翻译：基于一个或多个发音分数，发音质量自动评估语音的发音。一种类型的发音得分是基于声学单位的持续时间。声学单元的例子包括手机和音节。另一种类型的发音评分是基于一段输入语音对应于某一模型（如给定输入语音的隐马尔可夫模型）的后验概率。演讲可能被分为手机和音节，用于评估模型。话语的发音可能是由以前没有遇到过的一系列单词组成的任意说法。发音成绩将按年级学生分配为成绩。发音质量可以在客户端 - 服务器语言指令环境中进行评估。

10. 发明授权

US07533020B2 Method and apparatus for performing relational speech recognition 有权
标题翻译：执行关系语音识别的方法和装置
公开(公告)号：US07533020B2
公开(公告)日：2009-05-12
申请号：US11063357
申请日：2005-02-23
申请人： James F. Arnold , Michael W. Frandsen , Anand Venkataraman , Douglas A. Bercow , Gregory K. Myers , David J. Israel , Venkata Ramana Rao Gadde , Horacio Franco , Harry Bratt
发明人： James F. Arnold , Michael W. Frandsen , Anand Venkataraman , Douglas A. Bercow , Gregory K. Myers , David J. Israel , Venkata Ramana Rao Gadde , Horacio Franco , Harry Bratt
IPC分类号： G10L15/18
CPC分类号： G10L15/183 , G10L15/065
摘要： A method and apparatus are provided for performing speech recognition using observable and meaningful relationships between words within a single utterance and using a structured data source as a source of constraints on the recognition process. Results from a first constrained speech recognition pass can be combined with information about the observable and meaningful word relationships to constrain or simplify subsequent recognition passes. This iterative process greatly reduces the search space required for each recognition pass, making the speech recognition process more efficient, faster and accurate.
摘要翻译：提供了一种方法和装置，用于使用单个话语中的单词之间的可观察和有意义的关系来执行语音识别，并且使用结构化数据源作为识别过程的约束来源。来自第一约束语音识别通行证的结果可以与关于可观察和有意义的词关系的信息组合以约束或简化后续的识别通行证。这种迭代过程大大减少了每个识别通过所需的搜索空间，使得语音识别过程更加高效，更快速和准确。

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