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1. 发明授权

US08909528B2 Method and system for prompt construction for selection from a list of acoustically confusable items in spoken dialog systems 有权
标题翻译：用于在口语对话系统中从声学上可混淆的项目列表中选择的方法和系统
公开(公告)号：US08909528B2
公开(公告)日：2014-12-09
申请号：US11746087
申请日：2007-05-09
申请人： Ellen Marie Eide , Vaibhava Goel , Ramesh Gopinath , Osamuyimen T. Stewart
发明人： Ellen Marie Eide , Vaibhava Goel , Ramesh Gopinath , Osamuyimen T. Stewart
IPC分类号： G10L15/00 , G10L15/02 , G10L15/20 , G10L15/24 , G10L15/28 , G10L15/22 , G10L15/187
CPC分类号： G10L15/22 , G10L15/187
摘要： A method (and system) of determining confusable list items and resolving this confusion in a spoken dialog system includes receiving user input, processing the user input and determining if a list of items needs to be played back to the user, retrieving the list to be played back to the user, identifying acoustic confusions between items on the list, changing the items on the list as necessary to remove the acoustic confusions, and playing unambiguous list items back to the user.
摘要翻译：一种确定可混淆列表项目并在口头对话系统中解决这种混淆的方法（和系统）包括接收用户输入，处理用户输入并确定是否需要向用户回放项目列表，将列表检索为播放给用户，识别列表上的项目之间的声音混淆，根据需要更改列表上的项目以消除声音混淆，并将明确的列表项目播放回用户。

2. 发明授权

US07558734B1 Using web FAQ data for creating self-service speech applications 有权
标题翻译：使用Web常见问题数据创建自助语音应用程序
公开(公告)号：US07558734B1
公开(公告)日：2009-07-07
申请号：US12271912
申请日：2008-11-16
申请人： Osamuyimen T. Stewart , David M. Lubensky , Ea-Ee Jan , Xiang Li
发明人： Osamuyimen T. Stewart , David M. Lubensky , Ea-Ee Jan , Xiang Li
IPC分类号： G10L21/00
CPC分类号： G06F17/30861 , G06F17/2785 , G06F17/30684 , G10L15/26 , H04M3/4938
摘要： In one example, this invention presents a method of providing the same self-service content that is available on the web interface to users contacting by telephone, knowing that the web and telephone are fundamentally different user interfaces. In one embodiment, this patent seeks to protect the general idea of how to playback web data in real-time to the user over the speech interface. For this purpose, a method is presented comprising of the general steps through which the web data is initially sent to an automatic transformation module. Then, that transformation module refines or re-structures the web data to make it suitable for the speech interface. The algorithm in the module is predicated on the user interface principles of cognitive complexity and limitations on short term memory based on which FAQ types are classified into one of the following four classes: simple, medium, complex, and complex-complex.
摘要翻译：在一个示例中，本发明提供了一种方法，即知道网络和电话是根本上不同的用户界面的，通过电话向网络接口提供与用户联系的相同的自助服务内容。在一个实施例中，该专利旨在保护如何通过语音界面实时地向用户播放web数据的一般思想。为此，提出了一种方法，其包括最初将web数据发送到自动变换模块的一般步骤。然后，该转换模块对网络数据进行优化或重构，使其适合于语音界面。模块中的算法基于用户界面的认知复杂性原理和短期记忆的限制，基于哪些常见问题类型分为以下四个类别之一：简单，中等，复杂和复杂。

3. 发明授权

US08478594B2 Systems and methods for automatically determining culture-based behavior in customer service interactions 失效
标题翻译：在客户服务互动中自动确定文化行为的系统和方法
公开(公告)号：US08478594B2
公开(公告)日：2013-07-02
申请号：US13572215
申请日：2012-08-10
申请人： Osamuyimen T. Stewart , David M. Lubensky , Joyram Chakraborty
发明人： Osamuyimen T. Stewart , David M. Lubensky , Joyram Chakraborty
IPC分类号： G10L15/00
CPC分类号： G10L15/22 , G06Q30/02
摘要： Systems and methods are provided to automatically determine culture-based behavioral tendencies and preferences of individuals in the context of customer service interactions. For example, systems and methods are provided to process natural language dialog input of an individual to detect linguistic features indicative of individualistic and collectivistic behavioral tendencies and predict whether such individual will be cooperative or uncooperative with automated customer service.
摘要翻译：提供系统和方法以在客户服务交互的背景下自动确定基于文化的行为倾向和个人偏好。例如，提供系统和方法来处理个人的自然语言对话输入以检测指示个人主义和集体主义行为倾向的语言特征，并且预测这样的个人是否与自动化客户服务协作或不合作。

4. 发明申请

US20100049520A1 SYSTEMS AND METHODS FOR AUTOMATICALLY DETERMINING CULTURE-BASED BEHAVIOR IN CUSTOMER SERVICE INTERACTIONS 失效
标题翻译：用于自动确定客户服务交互中基于文化的行为的系统和方法
公开(公告)号：US20100049520A1
公开(公告)日：2010-02-25
申请号：US12196744
申请日：2008-08-22
申请人： Osamuyimen T. Stewart , David M. Lubensky , Joyram Chakraborty
发明人： Osamuyimen T. Stewart , David M. Lubensky , Joyram Chakraborty
IPC分类号： G10L15/18
CPC分类号： G10L15/22 , G06Q30/02
摘要： Systems and methods are provided to automatically determine culture-based behavioral tendencies and preferences of individuals in the context of customer service interactions. For example, systems and methods are provided to process natural language dialog input of an individual to detect linguistic features indicative of individualistic and collectivistic behavioral tendencies and predict whether such individual will be cooperative or uncooperative with automated customer service.
摘要翻译：提供系统和方法以在客户服务交互的背景下自动确定基于文化的行为倾向和个人偏好。例如，提供系统和方法来处理个人的自然语言对话输入以检测指示个人主义和集体主义行为倾向的语言特征，并且预测这样的个人是否与自动化客户服务协作或不合作。

5. 发明授权

US07467090B1 Using web FAQ data for creating self-service speech applications 有权
标题翻译：使用Web常见问题数据创建自助语音应用程序
公开(公告)号：US07467090B1
公开(公告)日：2008-12-16
申请号：US12037996
申请日：2008-02-27
申请人： Osamuyimen T. Stewart , David M. Lubensky , Ea-Ee Jan , Xiang Li
发明人： Osamuyimen T. Stewart , David M. Lubensky , Ea-Ee Jan , Xiang Li
IPC分类号： G10L21/00
CPC分类号： G06F17/30861 , G06F17/2785 , G06F17/30684 , G10L15/26 , H04M3/4938
摘要： In one example, this invention presents a method of providing the same self-service content that is available on the web interface to users contacting by telephone, knowing that the web and telephone are fundamentally different user interfaces. In one embodiment, this seeks to protect the general idea of how to playback web data in real-time to the user over the speech interface. For this purpose, a method is presented comprising of the general steps through which the web data is initially sent to an automatic transformation module. Then, that transformation module refines or re-structures the web data to make it suitable for the speech interface. The algorithm in the module is predicated on the user interface principles of cognitive complexity and limitations on short term memory based on which FAQ types are classified into one of the following four classes: simple, medium, complex, and complex-complex.
摘要翻译：在一个示例中，本发明提供了一种方法，即知道网络和电话是根本上不同的用户界面的，通过电话向网络接口提供与用户联系的相同的自助服务内容。在一个实施例中，这旨在保护如何通过语音界面实时地向用户播放web数据的一般思想。为此，提出了一种方法，其包括最初将web数据发送到自动变换模块的一般步骤。然后，该转换模块对网络数据进行优化或重构，使其适合于语音界面。模块中的算法基于用户界面的认知复杂性原理和短期记忆的限制，基于哪些常见问题类型分为以下四个类别之一：简单，中等，复杂和复杂。

6. 发明授权

US07437291B1 Using partial information to improve dialog in automatic speech recognition systems 有权
标题翻译：使用部分信息来改善自动语音识别系统中的对话
公开(公告)号：US07437291B1
公开(公告)日：2008-10-14
申请号：US11956251
申请日：2007-12-13
申请人： Osamuyimen T. Stewart , David M. Lubensky
发明人： Osamuyimen T. Stewart , David M. Lubensky
IPC分类号： G10L15/00
CPC分类号： G10L15/193
摘要： A method, system and computer readable device for recognizing a partial utterance in an automatic speech recognition (ASR) system where said method comprising the steps of, receiving, by a ASR recognition unit, an input signal representing a speech utterance or word and transcribing the input signal into text, interpreting, by a ASR interpreter unit, whether the text is either a positive or a negative match to a list of automated options by matching the text with a grammar or semantic database representing the list of automated options, wherein if the ASR interpreter unit results in said positive match proceeding to a next input signal and if the ASR interpreter unit results in said negative match rejecting the text as representing said partial utterance, and processing, by a linguistic filtering unit, the rejected text to derive a correct match between the rejected text and the grammar or semantic database. And, then using the derived word for responding to the user in the next dialog turn in order to reduce or eliminate churn in the human-computer spoken dialog interaction.
摘要翻译：一种用于识别自动语音识别（ASR）系统中的部分发音的方法，系统和计算机可读设备，其中所述方法包括以下步骤：由ASR识别单元接收表示语音话语或单词的输入信号，并且转录输入信号到文本中，由ASR解释器单元解释文本是否与自动选项列表的正或负匹配，通过将文本与表示自动选项列表的语法或语义数据库相匹配，其中如果 ASR解释器单元导致所述正匹配进行到下一个输入信号，并且如果ASR解释器单元导致所述否定匹配拒绝文本表示所述部分话语，并且由语言过滤单元处理被拒绝的文本以导出正确的拒绝文本与语法或语义数据库之间的匹配。然后，在下一个对话框中使用派生词来响应用户，以减少或消除人机对话交互中的流失。

7. 发明授权

US08346556B2 Systems and methods for automatically determining culture-based behavior in customer service interactions 失效
公开(公告)号：US08346556B2
公开(公告)日：2013-01-01
申请号：US12196744
申请日：2008-08-22
申请人： Osamuyimen T. Stewart , David M. Lubensky , Joyram Chakraborty
发明人： Osamuyimen T. Stewart , David M. Lubensky , Joyram Chakraborty
IPC分类号： G10L15/18
CPC分类号： G10L15/22 , G06Q30/02
摘要： Systems and methods are provided to automatically determine culture-based behavioral tendencies and preferences of individuals in the context of customer service interactions. For example, systems and methods are provided to process natural language dialog input of an individual to detect linguistic features indicative of individualistic and collectivistic behavioral tendencies and predict whether such individual will be cooperative or uncooperative with automated customer service.

8. 发明申请

US20090157405A1 USING PARTIAL INFORMATION TO IMPROVE DIALOG IN AUTOMATIC SPEECH RECOGNITION SYSTEMS 有权
标题翻译：使用部分信息来改进自动语音识别系统中的对话
公开(公告)号：US20090157405A1
公开(公告)日：2009-06-18
申请号：US12206531
申请日：2008-09-08
申请人： Osamuyimen T. Stewart , David M. Lubensky
发明人： Osamuyimen T. Stewart , David M. Lubensky
IPC分类号： G10L15/18
CPC分类号： G10L15/193
摘要： A method, system and computer readable device for recognizing a partial utterance in an automatic speech recognition (ASR) system where said method comprising the steps of, receiving, by a ASR recognition unit, an input signal representing a speech utterance or word and transcribing the input signal into text, interpreting, by a ASR interpreter unit, whether the text is either a positive or a negative match to a list of automated options by matching the text with a grammar or semantic database representing the list of automated options, wherein if the ASR interpreter unit results in said positive match proceeding to a next input signal and if the ASR interpreter unit results in said negative match rejecting the text as representing said partial utterance, and processing, by a linguistic filtering unit, the rejected text to derive a correct match between the rejected text and the grammar or semantic database. And, then using the derived word for responding to the user in the next dialog turn in order to reduce or eliminate churn in the human-computer spoken dialog interaction.
摘要翻译：一种用于识别自动语音识别（ASR）系统中的部分发音的方法，系统和计算机可读设备，其中所述方法包括以下步骤：由ASR识别单元接收表示语音话语或单词的输入信号，并且转录输入信号到文本中，由ASR解释器单元解释文本是否与自动选项列表的正或负匹配，通过将文本与表示自动选项列表的语法或语义数据库相匹配，其中如果 ASR解释器单元导致所述正匹配进行到下一个输入信号，并且如果ASR解释器单元导致所述否定匹配拒绝文本表示所述部分话语，并且由语言过滤单元处理被拒绝的文本以导出正确的拒绝文本与语法或语义数据库之间的匹配。然后，在下一个对话框中使用派生词来响应用户，以减少或消除人机对话交互中的流失。

9. 发明申请

US20120310629A1 SYSTEMS AND METHODS FOR AUTOMATICALLY DETERMINING CULTURE-BASED BEHAVIOR IN CUSTOMER SERVICE INTERACTIONS 失效
标题翻译：用于自动确定客户服务交互中基于文化的行为的系统和方法
公开(公告)号：US20120310629A1
公开(公告)日：2012-12-06
申请号：US13572215
申请日：2012-08-10
申请人： Osamuyimen T. Stewart , David M. Lubensky , Joyram Chakraborty
发明人： Osamuyimen T. Stewart , David M. Lubensky , Joyram Chakraborty
IPC分类号： G10L11/00 , G06F17/27
CPC分类号： G10L15/22 , G06Q30/02
摘要： Systems and methods are provided to automatically determine culture-based behavioral tendencies and preferences of individuals in the context of customer service interactions. For example, systems and methods are provided to process natural language dialog input of an individual to detect linguistic features indicative of individualistic and collectivistic behavioral tendencies and predict whether such individual will be cooperative or uncooperative with automated customer service.
摘要翻译：提供系统和方法以在客户服务交互的背景下自动确定基于文化的行为倾向和个人偏好。例如，提供系统和方法来处理个人的自然语言对话输入以检测指示个人主义和集体主义行为倾向的语言特征，并且预测这样的个人是否与自动化客户服务协作或不合作。

10. 发明授权

US07624014B2 Using partial information to improve dialog in automatic speech recognition systems 有权
标题翻译：使用部分信息来改善自动语音识别系统中的对话
公开(公告)号：US07624014B2
公开(公告)日：2009-11-24
申请号：US12206531
申请日：2008-09-08
申请人： Osamuyimen T. Stewart , David M. Lubensky
发明人： Osamuyimen T. Stewart , David M. Lubensky
IPC分类号： G10L15/00
CPC分类号： G10L15/193
摘要： A method, system and computer readable device for recognizing a partial utterance in an automatic speech recognition (ASR) system where said method comprising the steps of, receiving, by a ASR recognition unit, an input signal representing a speech utterance or word and transcribing the input signal into text, interpreting, by a ASR interpreter unit, whether the text is either a positive or a negative match to a list of automated options by matching the text with a grammar or semantic database representing the list of automated options, wherein if the ASR interpreter unit results in said positive match proceeding to a next input signal and if the ASR interpreter unit results in said negative match rejecting the text as representing said partial utterance, and processing, by a linguistic filtering unit, the rejected text to derive a correct match between the rejected text and the grammar or semantic database. And, then using the derived word for responding to the user in the next dialog turn in order to reduce or eliminate churn in the human-computer spoken dialog interaction.
摘要翻译：一种用于识别自动语音识别（ASR）系统中的部分发音的方法，系统和计算机可读设备，其中所述方法包括以下步骤：由ASR识别单元接收表示语音话语或单词的输入信号，并且转录输入信号到文本中，由ASR解释器单元解释文本是否与自动选项列表的正或负匹配，通过将文本与表示自动选项列表的语法或语义数据库相匹配，其中如果 ASR解释器单元导致所述正匹配进行到下一个输入信号，并且如果ASR解释器单元导致所述否定匹配拒绝文本表示所述部分话语，并且由语言过滤单元处理被拒绝的文本以导出正确的拒绝文本与语法或语义数据库之间的匹配。然后，在下一个对话框中使用派生词来响应用户，以减少或消除人机对话交互中的流失。

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