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1. 发明授权

US07013275B2 Method and apparatus for providing a dynamic speech-driven control and remote service access system 有权
公开(公告)号：US07013275B2
公开(公告)日：2006-03-14
申请号：US10033772
申请日：2001-12-28
申请人： James F. Arnold , Horacio E. Franco , David J. Israel , Christopher Culy
发明人： James F. Arnold , Horacio E. Franco , David J. Israel , Christopher Culy
IPC分类号： G10L15/18 , G10L15/22
CPC分类号： G10L15/30
摘要： An apparatus and a concomitant method for speech recognition. In one embodiment, a distributed speech recognition system provides speech-driven control and remote service access. The distributed speech recognition system comprises a client device and a central server.

2. 发明授权

US07016849B2 Method and apparatus for providing speech-driven routing between spoken language applications 有权
公开(公告)号：US07016849B2
公开(公告)日：2006-03-21
申请号：US10105890
申请日：2002-03-25
申请人： James F. Arnold , Horacio E. Franco , David J. Israel
发明人： James F. Arnold , Horacio E. Franco , David J. Israel
IPC分类号： G10L15/00
CPC分类号： G10L15/32 , G10L15/19 , G10L2015/228
摘要： An apparatus and a concomitant method for speech recognition. In one embodiment, a distributed speech recognition system provides speech-driven control and remote service access. The distributed speech recognition system comprises a client device and a central server, where the client device is equipped with two speech recognition modules: a foreground speech recognizer and a background speech recognizer. The foreground speech recognizer is implementing a particular spoken language application (SLA) to handle a particular task, whereas the background speech recognizer is monitoring a change in the topic and/or a change in the intent of the user. Upon detection of a change in topic or intent of the user, the background speech recognizer will effect the routing to a new SLA to address the new topic or intent.

3. 发明授权

US06996519B2 Method and apparatus for performing relational speech recognition 有权
公开(公告)号：US06996519B2
公开(公告)日：2006-02-07
申请号：US09967228
申请日：2001-09-28
申请人： Horacio E. Franco , David J. Israel , Gregory K. Myers
发明人： Horacio E. Franco , David J. Israel , Gregory K. Myers
IPC分类号： G10L15/18
CPC分类号： G10L15/065 , G10L15/183
摘要： A method and apparatus for performing speech recognition using observable relationships between words. Results from a speech recognition pass can be combined with information about the observable 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.

4. 发明授权

US5317673A Method and apparatus for context-dependent estimation of multiple probability distributions of phonetic classes with multilayer perceptrons in a speech recognition system 失效
标题翻译：用于语音识别系统中具有多层感知器的语音类的多个概率分布的上下文相关估计的方法和装置
公开(公告)号：US5317673A
公开(公告)日：1994-05-31
申请号：US901716
申请日：1992-06-22
申请人： Michael H. Cohen , Horacio E. Franco
发明人： Michael H. Cohen , Horacio E. Franco
IPC分类号： G10L15/14 , G10L5/06
CPC分类号： G10L15/144
摘要： In a hidden Markov model-based speech recognition system, multilayer perceptrons (MLPs) are used in context-dependent estimation of a plurality of state-dependent observation probability distributions of phonetic classes. Estimation is obtained by the Bayesian factorization of the observation likelihood in terms of posterior probabilities of phone classes assuming the context and the input speech vector. The context-dependent estimation is employed as the state-dependent observation probabilities needed as parameter input to a hidden Markov model speech processor to identify the word sequence representing the unknown speech input of input speech vectors. Within the speech processor, models are provided which employ the observation probabilities in the recognition process. The number of context-dependent nets is reduced to a single net by sharing the units of the input layer and the hidden layer and the weights connecting them in the multilayer perceptron while providing one output layer for each relevant context. Each output layer is trained as an independent network on the specific examples of the corresponding context it represents. Training may be optimized at an intermediate set of weights between the context-independent-associated weights and the context-dependent associated weights to which training would normally converge.
摘要翻译：在基于隐马尔可夫模型的语音识别系统中，多媒体感知器（MLP）用于语音类的多个状态依赖性观察概率分布的上下文相关估计。通过假设上下文和输入语音向量的电话类的后验概率的观察可能性的贝叶斯分解获得估计。采用上下文相关估计作为对隐马尔可夫模型语音处理器的参数输入所需的状态相关观测概率，以识别代表输入语音向量的未知语音输入的单词序列。在语音处理器中，提供了在识别过程中采用观察概率的模型。通过共享输入层和隐藏层的单位以及将它们连接到多层感知器中的权重，将上下文相关网络的数量减少到单个网络，同时为每个相关上下文提供一个输出层。每个输出层作为独立网络被训练在其所代表的相应上下文的具体示例上。可以在上下文无关关联权重与训练正常收敛到的与上下文相关的权重之间的中间权重集合上优化训练。

5. 发明授权

US09213558B2 Method and apparatus for tailoring the output of an intelligent automated assistant to a user 有权
标题翻译：用于定制用户的智能自动助理的输出的方法和装置
公开(公告)号：US09213558B2
公开(公告)日：2015-12-15
申请号：US13378512
申请日：2010-09-01
申请人： Gokhan Tur , Horacio E. Franco , Elizabeth Shriberg , Gregory K. Myers , William S. Mark , Norman D. Winarsky , Andreas Stolcke , Bart Peintner , Michael J. Wolverton , Luciana Ferrer , Martin Graciarena , Harry Bratt , Neil Yorke-Smith
发明人： Gokhan Tur , Horacio E. Franco , Elizabeth Shriberg , Gregory K. Myers , William S. Mark , Norman D. Winarsky , Andreas Stolcke , Bart Peintner , Michael J. Wolverton , Luciana Ferrer , Martin Graciarena , Harry Bratt , Neil Yorke-Smith
IPC分类号： G06N5/00 , G06F1/00 , G06F9/44
CPC分类号： G06N7/005 , G06F9/453 , G06N5/022 , G06N5/04 , G06N99/005
摘要： The present invention relates to a method and apparatus for tailoring the output of an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes collecting data about the user using a multimodal set of sensors positioned in a vicinity of the user, making a set of inferences about the user in accordance with the data, and tailoring an output to be delivered to the user in accordance with the set of inferences.
摘要翻译：本发明涉及一种用于定制智能自动化助理的输出的方法和装置。用于与人类用户进行交互的方法的一个实施例包括使用定位在用户附近的多模式传感器来收集关于用户的数据，根据数据做出关于用户的一组推断，并且定制输出将根据推导集合被传递给用户。

6. 发明授权

US09082402B2 Generic virtual personal assistant platform 有权
标题翻译：通用虚拟个人助理平台
公开(公告)号：US09082402B2
公开(公告)日：2015-07-14
申请号：US13314965
申请日：2011-12-08
申请人： Osher Yadgar , Neil Yorke-Smith , Bart Peintner , Gokhan Tur , Necip Fazil Ayan , Michael J. Wolverton , Girish Acharya , Venkatarama Satyanarayana Parimi , William S. Mark , Wen Wang , Andreas Kathol , Regis Vincent , Horacio E. Franco
发明人： Osher Yadgar , Neil Yorke-Smith , Bart Peintner , Gokhan Tur , Necip Fazil Ayan , Michael J. Wolverton , Girish Acharya , Venkatarama Satyanarayana Parimi , William S. Mark , Wen Wang , Andreas Kathol , Regis Vincent , Horacio E. Franco
IPC分类号： G10L15/18 , G10L15/19
CPC分类号： G10L15/22 , G06F17/28 , G10L15/1815 , G10L15/1822 , G10L15/19 , G10L2015/223 , H04M3/4936
摘要： A method for assisting a user with one or more desired tasks is disclosed. For example, an executable, generic language understanding module and an executable, generic task reasoning module are provided for execution in the computer processing system. A set of run-time specifications is provided to the generic language understanding module and the generic task reasoning module, comprising one or more models specific to a domain. A language input is then received from a user, an intention of the user is determined with respect to one or more desired tasks, and the user is assisted with the one or more desired tasks, in accordance with the intention of the user.
摘要翻译：公开了一种用于帮助用户进行一个或多个所需任务的方法。例如，可执行的通用语言理解模块和可执行的通用任务推理模块被提供用于在计算机处理系统中执行。通用语言理解模块和通用任务推理模块提供了一组运行时规范，包括一个或多个特定于域的模型。然后从用户接收语言输入，根据一个或多个所需任务来确定用户的意图，并且根据用户的意图帮助用户一个或多个所需任务。

7. 发明申请

US20120173464A1 METHOD AND APPARATUS FOR EXPLOITING HUMAN FEEDBACK IN AN INTELLIGENT AUTOMATED ASSISTANT 审中-公开
标题翻译：智能自动化助理人员反馈的方法与装置
公开(公告)号：US20120173464A1
公开(公告)日：2012-07-05
申请号：US13378525
申请日：2010-09-01
申请人： Gokhan Tur , Horacio E. Franco , William S. Mark , Norman D, Winarsky , Bart Peintner , Michael J. Wolverton , Neil Yorke-Smith
发明人： Gokhan Tur , Horacio E. Franco , William S. Mark , Norman D, Winarsky , Bart Peintner , Michael J. Wolverton , Neil Yorke-Smith
IPC分类号： G06N5/04
CPC分类号： G06N7/005 , G06F9/453 , G06N5/022 , G06N5/04 , G06N20/00
摘要： The present invention relates to a method and apparatus for exploiting human feedback in an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes inferring an intent from data entered by the human user, formulating a response in accordance with the intent, receiving feedback from a human advisor in response to at least one of the inferring and the formulating, wherein the human advisor is a person other than the human user, and adapting at least one model used in at least one of the inferring and the formulating, wherein the adapting is based on the feedback.
摘要翻译：本发明涉及一种在智能自动化助理中利用人反馈的方法和装置。用于与人类用户进行交互的方法的一个实施例包括从人类用户输入的数据推断意图，根据意图制定响应，从人类顾问接收响应于至少一个推断和其中所述人类顾问是人类以外的人，并且适配至少一个所述推断和制定中的至少一个的模型，其中所述适应是基于所述反馈。

8. 发明授权

US10366336B2 Method and apparatus for exploiting human feedback in an intelligent automated assistant 有权
公开(公告)号：US10366336B2
公开(公告)日：2019-07-30
申请号：US13378525
申请日：2010-09-01
申请人： Gokhan Tur , Horacio E. Franco , William S. Mark , Norman D. Winarsky , Bart Peintner , Michael J. Wolverton , Neil Yorke-Smith
发明人： Gokhan Tur , Horacio E. Franco , William S. Mark , Norman D. Winarsky , Bart Peintner , Michael J. Wolverton , Neil Yorke-Smith
IPC分类号： G06N7/00 , G06N20/00 , G06N5/02 , G06N5/04 , G06F9/44 , G06F9/451
摘要： The present invention relates to a method and apparatus for exploiting human feedback in an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes inferring an intent from data entered by the human user, formulating a response in accordance with the intent, receiving feedback from a human advisor in response to at least one of the inferring and the formulating, wherein the human advisor is a person other than the human user, and adapting at least one model used in at least one of the inferring and the formulating, wherein the adapting is based on the feedback.

9. 发明申请

US20120166365A1 METHOD AND APPARATUS FOR TAILORING THE OUTPUT OF AN INTELLIGENT AUTOMATED ASSISTANT TO A USER 有权
标题翻译：将智能自动化助理输出给用户的方法和装置
公开(公告)号：US20120166365A1
公开(公告)日：2012-06-28
申请号：US13378512
申请日：2010-09-01
申请人： Gokhan Tur , Horacio E. Franco , Elizabeth Shriberg , Gregory K. Myers , William S. Mark , Norman D. Winarsky , Andreas Stolcke , Bart Peintner , Michael J. Wolverton , Luciana Ferrer , Martin Graciarena , Neil Yorke-Smith
发明人： Gokhan Tur , Horacio E. Franco , Elizabeth Shriberg , Gregory K. Myers , William S. Mark , Norman D. Winarsky , Andreas Stolcke , Bart Peintner , Michael J. Wolverton , Luciana Ferrer , Martin Graciarena , Neil Yorke-Smith
IPC分类号： G06N5/04 , G06F15/18
CPC分类号： G06N7/005 , G06F9/453 , G06N5/022 , G06N5/04 , G06N99/005
摘要： The present invention relates to a method and apparatus for tailoring the output of an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes collecting data about the user using a multimodal set of sensors positioned in a vicinity of the user, making a set of inferences about the user in accordance with the data, and tailoring an output to be delivered to the user in accordance with the set of inferences.
摘要翻译：本发明涉及一种用于定制智能自动化助理的输出的方法和装置。用于与人类用户进行交互的方法的一个实施例包括使用定位在用户附近的多模式传感器来收集关于用户的数据，根据数据做出关于用户的一组推断，并且定制输出将根据推导集合被传递给用户。

10. 发明授权

US07324945B2 Method of dynamically altering grammars in a memory efficient speech recognition system 有权
标题翻译：在存储器高效语音识别系统中动态地改变语法的方法
公开(公告)号：US07324945B2
公开(公告)日：2008-01-29
申请号：US09894898
申请日：2001-06-28
申请人： John W. Butzberger , Horacio E. Franco , Leonardo Neumeyer , Jing Zheng
发明人： John W. Butzberger , Horacio E. Franco , Leonardo Neumeyer , Jing Zheng
IPC分类号： G10L15/18
CPC分类号： G10L15/19 , G10L15/285
摘要： A method of speech recognition that uses hierarchical data structures that include a top level grammar and various related subgrammars, such as word, phone, and state subgrammars. A speech signal is acquired, and a probabilistic search is performed using the speech signal as an input, and using the (unexpanded) grammars and subgrammars as possible inputs. Memory is allocated to a subgrammar when a transition to that subgrammar is made during the probabilistic search. The subgrammar may then be expanded and evaluated, and the probability of a match between the speech signal and an element of the subgrammar for which memory has been allocated may be computed. Because unexpanded grammars and subgrammars take up very little memory, this method enables systems to recognize and process a larger vocabulary that would otherwise be possible. This method also permits grammars and subgrammars to be added, deleted, or selected by a remote computer while the speech recognition system is operating, allowing speech recognition systems to have a nearly unlimited vocabulary.
摘要翻译：一种语音识别的方法，其使用包括顶级语法和各种相关子程序的分层数据结构，例如单词，电话和状态子程序。获取语音信号，并使用语音信号作为输入，并使用（未展开的）语法和子程序作为可能的输入来执行概率搜索。在概率搜索期间过渡到该子程序时，内存被分配给子程序。然后可以扩展和评估子程序，并且可以计算语音信号和已经分配了存储器的子程序的元素之间的匹配概率。因为未扩展的语法和子程序占用很少的内存，所以这种方法使系统能够识别和处理否则可能的更大的词汇。该方法还允许在语音识别系统运行时由远程计算机添加，删除或选择语法和子程序，从而允许语音识别系统具有几乎无限的词汇。

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