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1.发明授权Method of using a natural language interface to retrieve information from one or more data resources 失效使用自然语言界面从一个或多个数据资源检索信息的方法公开(公告)号：US06173279B2
公开(公告)日：2001-01-09
申请号：US09058107
申请日：1998-04-09
IPC分类号： G06F1730
CPC分类号： H04M3/4931 , H04M2201/40 , Y10S707/916 , Y10S707/917 , Y10S707/955 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99943
摘要： A method of using at least one natural language query to retrieve information from one or more data resources and further performing a requested action using the retrieved information is disclosed. At least one natural language query directed to retrieving particular information is received. At least one object from the natural language query is extracted. The relationship between each of the at least one extracted objects is determined. A semantic representation is created from the at least one extracted objects. The semantic representation is compared to a knowledge structure. The knowledge structure is comprised of one or more grammars which are extracted from a plurality of data resources. The semantic representations are matched to the grammar. A database query is generated based on the matched objects. The query is applied to one or more of the data resources and information is retrieved. The requested action is then performed using the retrieved information.
摘要翻译： 公开了一种使用至少一种自然语言查询来从一个或多个数据资源检索信息并且使用检索到的信息进一步执行所请求的动作的方法。 接收至少一个针对检索特定信息的自然语言查询。 提取至少一个来自自然语言查询的对象。 确定所述至少一个提取对象中的每一个之间的关系。 从至少一个提取的对象创建语义表示。 将语义表示与知识结构进行比较。 知识结构由从多个数据资源提取的一个或多个语法组成。 语义表示与语法相匹配。 基于匹配对象生成数据库查询。 该查询应用于一个或多个数据资源，并且检索信息。 然后使用检索到的信息执行所请求的操作。
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公开(公告)号：US6076057A
公开(公告)日：2000-06-13
申请号：US861413
申请日：1997-05-21
CPC分类号： G10L15/065 , G10L25/78 , G10L15/142
摘要： An unsupervised, discriminative, sentence level, HMM adaptation based on speech-silence classification is presented. Silence and speech regions are determined either using a speech end-pointer or the segmentation obtained from the recognizer in a first pass. The discriminative training procedure using a GPD or any other discriminative training algorithm, employed in conjunction with the HMM-based recognizer, is then used to increase the discrimination between silence and speech.
摘要翻译： 提出了基于语音沉默分类的无监督，歧视，句子级别HMM适应。 使用语音结束指针或在第一遍中从识别器获得的分割来确定静音和语音区域。 然后，使用与基于HMM的识别器结合使用的GPD或任何其他辨别性训练算法的鉴别训练程序用于增加沉默和语音之间的区别。
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公开(公告)号：US6138100A
公开(公告)日：2000-10-24
申请号：US59912
申请日：1998-04-14
CPC分类号： G10L15/1822 , G10L15/22 , G10L2015/0631 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and apparatus for defining an interface for a system using voice commands to connect a first user to a second user over a network. The interface receives a request to define the interface for a particular user. The interface receives a first information item, and searches at least one database for a second information item indexed by the first information item. Another search is performed for a third information item indexed by the second information item. This process is continued until the interface has gathered sufficient information items to construct a natural language grammar for use by the interface. The interface uses the natural language grammar to parse commands given by the user for future communications connections.
摘要翻译： 一种用于使用语音命令定义用于通过网络将第一用户连接到第二用户的系统的接口的方法和装置。 接口接收一个定义特定用户接口的请求。 接口接收第一信息项，并且搜索由第一信息项索引的第二信息项的至少一个数据库。 对由第二信息项索引的第三信息项执行另一搜索。 该过程一直持续到界面收集足够的信息项以构建自然语言语言以供界面使用。 界面使用自然语言语法来解析用户给出的命令，以便将来的通信连接。
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4.发明申请SYSTEM AND METHOD FOR PROVIDING A COMPENSATED SPEECH RECOGNITION MODEL FOR SPEECH RECOGNITION 有权用于提供用于语音识别的补偿语音识别模型的系统和方法公开(公告)号：US20090063144A1
公开(公告)日：2009-03-05
申请号：US12264700
申请日：2008-11-04
申请人： Richard C. Rose , Sarangarajan Pathasarathy , Aaron Edward Rosenberg , Shrikanth Sambasivan Narayanan
发明人： Richard C. Rose , Sarangarajan Pathasarathy , Aaron Edward Rosenberg , Shrikanth Sambasivan Narayanan
IPC分类号： G10L15/00
CPC分类号： G10L15/04 , G10L15/063 , G10L15/08 , G10L15/197 , G10L15/22 , G10L2015/0631
摘要： An automatic speech recognition (ASR) system and method is provided for controlling the recognition of speech utterances generated by an end user operating a communications device. The ASR system and method can be used with a communications device that is used in a communications network. The ASR system can be used for ASR of speech utterances input into a mobile device, to perform compensating techniques using at least one characteristic and for updating an ASR speech recognizer associated with the ASR system by determined and using a background noise value and a distortion value that is based on the features of the mobile device. The ASR system can be used to augment a limited data input capability of a mobile device, for example, caused by limited input devices physically located on the mobile device.
摘要翻译： 提供了一种自动语音识别（ASR）系统和方法，用于控制由操作通信设备的终端用户生成的语音话音的识别。 ASR系统和方法可以与在通信网络中使用的通信设备一起使用。 ASR系统可以用于输入到移动设备的语音话语的ASR，使用至少一个特征来执行补偿技术，并通过确定并使用背景噪声值和失真值来更新与ASR系统相关联的ASR语音识别器 这是基于移动设备的功能。 ASR系统可用于增加移动设备的有限数据输入能力，例如由物理上位于移动设备上的有限输入设备引起的。
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5.发明申请公开(公告)号：US20120185237A1
公开(公告)日：2012-07-19
申请号：US13429946
申请日：2012-03-26
申请人： Bojana GAJIC , Shrikanth Sambasivan Narayanan , Sarangarajan Parthasarathy , Richard Cameron Rose , Aaron Edward Rosenberg
发明人： Bojana GAJIC , Shrikanth Sambasivan Narayanan , Sarangarajan Parthasarathy , Richard Cameron Rose , Aaron Edward Rosenberg
摘要： Speech recognition models are dynamically re-configurable based on user information, application information, background information such as background noise and transducer information such as transducer response characteristics to provide users with alternate input modes to keyboard text entry. Word recognition lattices are generated for each data field of an application and dynamically concatenated into a single word recognition lattice. A language model is applied to the concatenated word recognition lattice to determine the relationships between the word recognition lattices and repeated until the generated word recognition lattices are acceptable or differ from a predetermined value only by a threshold amount. These techniques of dynamic re-configurable speech recognition provide for deployment of speech recognition on small devices such as mobile phones and personal digital assistants as well environments such as office, home or vehicle while maintaining the accuracy of the speech recognition.
摘要翻译： 语音识别模型基于用户信息，应用信息，背景噪声等背景信息和传感器响应特性等传感器信息进行动态重新配置，为用户提供键盘文本输入的备用输入模式。 为应用程序的每个数据字段生成字识别网格，并动态连接到单个字识别网格中。 将语言模型应用于级联的单词识别格以确定单词识别格子之间的关系并重复，直到生成的单词识别格子可接受或仅与预定值不同，仅通过阈值量。 这些动态可重配置语音识别技术提供了诸如移动电话和个人数字助理以及诸如办公室，家庭或车辆等环境的语音识别部署，同时保持语音识别的准确性。
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6.发明授权System and method for providing a compensated speech recognition model for speech recognition 有权用于提供用于语音识别的补偿语音识别模型的系统和方法公开(公告)号：US07451085B2
公开(公告)日：2008-11-11
申请号：US09966259
申请日：2001-10-01
申请人： Richard C. Rose , Sarangarajan Pathasarathy , Aaron Edward Rosenberg , Shrikanth Sambasivan Narayanan
发明人： Richard C. Rose , Sarangarajan Pathasarathy , Aaron Edward Rosenberg , Shrikanth Sambasivan Narayanan
CPC分类号： G10L15/04 , G10L15/063 , G10L15/08 , G10L15/197 , G10L15/22 , G10L2015/0631
摘要： An automatic speech recognition (ASR) system and method is provided for controlling the recognition of speech utterances generated by an end user operating a communications device. The ASR system and method can be used with a communications device that is used in a communications network. The ASR system can be used for ASR of speech utterances input into a mobile device, to perform compensating techniques using at least one characteristic and for updating an ASR speech recognizer associated with the ASR system by determined and using a background noise value and a distortion value that is based on the features of the mobile device. The ASR system can be used to augment a limited data input capability of a mobile device, for example, caused by limited input devices physically located on the mobile device.
摘要翻译： 提供了一种自动语音识别（ASR）系统和方法，用于控制由操作通信设备的终端用户生成的语音话音的识别。 ASR系统和方法可以与在通信网络中使用的通信设备一起使用。 ASR系统可以用于输入到移动设备的语音话语的ASR，使用至少一个特征来执行补偿技术，并通过确定并使用背景噪声值和失真值来更新与ASR系统相关联的ASR语音识别器 这是基于移动设备的功能。 ASR系统可用于增加移动设备的有限数据输入能力，例如由物理上位于移动设备上的有限输入设备引起的。
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7.发明授权System and method for providing a compensated speech recognition model for speech recognition 有权用于提供用于语音识别的补偿语音识别模型的系统和方法公开(公告)号：US07996220B2
公开(公告)日：2011-08-09
申请号：US12264700
申请日：2008-11-04
申请人： Richard C. Rose , Sarangarajan Pathasarathy , Aaron Edward Rosenberg , Shrikanth Sambasivan Narayanan
发明人： Richard C. Rose , Sarangarajan Pathasarathy , Aaron Edward Rosenberg , Shrikanth Sambasivan Narayanan
IPC分类号： G10L15/00
CPC分类号： G10L15/04 , G10L15/063 , G10L15/08 , G10L15/197 , G10L15/22 , G10L2015/0631
摘要： An automatic speech recognition (ASR) system and method is provided for controlling the recognition of speech utterances generated by an end user operating a communications device. The ASR system and method can be used with a communications device that is used in a communications network. The ASR system can be used for ASR of speech utterances input into a mobile device, to perform compensating techniques using at least one characteristic and for updating an ASR speech recognizer associated with the ASR system by determined and using a background noise value and a distortion value that is based on the features of the mobile device. The ASR system can be used to augment a limited data input capability of a mobile device, for example, caused by limited input devices physically located on the mobile device.
摘要翻译： 提供了一种自动语音识别（ASR）系统和方法，用于控制由操作通信设备的终端用户生成的语音话音的识别。 ASR系统和方法可以与在通信网络中使用的通信设备一起使用。 ASR系统可以用于输入到移动设备的语音话语的ASR，使用至少一个特征来执行补偿技术，并通过确定并使用背景噪声值和失真值来更新与ASR系统相关联的ASR语音识别器 这是基于移动设备的功能。 ASR系统可用于增加移动设备的有限数据输入能力，例如由物理上位于移动设备上的有限输入设备引起的。
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8.发明授权System and method of performing speech recognition based on a user identifier 有权基于用户标识符执行语音识别的系统和方法公开(公告)号：US07451081B1
公开(公告)日：2008-11-11
申请号：US11685456
申请日：2007-03-13
申请人： Bojana Gajic , Shrikanth Sambasivan Narayanan , Sarangarajan Parthasarathy , Richard Cameron Rose , Aaron Edward Rosenberg
发明人： Bojana Gajic , Shrikanth Sambasivan Narayanan , Sarangarajan Parthasarathy , Richard Cameron Rose , Aaron Edward Rosenberg
IPC分类号： G10L15/00
摘要： Speech recognition models are dynamically re-configurable based on user information, application information, background information such as background noise and transducer information such as transducer response characteristics to provide users with alternate input modes to keyboard text entry. Word recognition lattices are generated for each data field of an application and dynamically concatenated into a single word recognition lattice. A language model is applied to the concatenated word recognition lattice to determine the relationships between the word recognition lattices and repeated until the generated word recognition lattices are acceptable or differ from a predetermined value only by a threshold amount. These techniques of dynamic re-configurable speech recognition provide for deployment of speech recognition on small devices such as mobile phones and personal digital assistants as well environments such as office, home or vehicle while maintaining the accuracy of the speech recognition.
摘要翻译： 语音识别模型基于用户信息，应用信息，背景噪声等背景信息和传感器响应特性等传感器信息进行动态重新配置，为用户提供键盘文本输入的备用输入模式。 为应用程序的每个数据字段生成字识别网格，并动态连接到单个字识别网格中。 将语言模型应用于级联的单词识别格以确定单词识别格子之间的关系并重复，直到生成的单词识别格子可接受或仅与预定值不同，仅通过阈值量。 这些动态可重配置语音识别技术提供了诸如移动电话和个人数字助理以及诸如办公室，家庭或车辆等环境的语音识别部署，同时保持语音识别的准确性。
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9.发明授权公开(公告)号：US09058810B2
公开(公告)日：2015-06-16
申请号：US13429946
申请日：2012-03-26
申请人： Bojana Gajic , Shrikanth Sambasivan Narayanan , Sarangarajan Parthasarathy , Richard Cameron Rose , Aaron Edward Rosenberg
发明人： Bojana Gajic , Shrikanth Sambasivan Narayanan , Sarangarajan Parthasarathy , Richard Cameron Rose , Aaron Edward Rosenberg
摘要： Speech recognition models are dynamically re-configurable based on user information, application information, background information such as background noise and transducer information such as transducer response characteristics to provide users with alternate input modes to keyboard text entry. Word recognition lattices are generated for each data field of an application and dynamically concatenated into a single word recognition lattice. A language model is applied to the concatenated word recognition lattice to determine the relationships between the word recognition lattices and repeated until the generated word recognition lattices are acceptable or differ from a predetermined value only by a threshold amount. These techniques of dynamic re-configurable speech recognition provide for deployment of speech recognition on small devices such as mobile phones and personal digital assistants as well environments such as office, home or vehicle while maintaining the accuracy of the speech recognition.
摘要翻译： 语音识别模型基于用户信息，应用信息，背景噪声等背景信息和传感器响应特性等传感器信息进行动态重新配置，为用户提供键盘文本输入的备用输入模式。 为应用程序的每个数据字段生成字识别网格，并动态连接到单个字识别网格中。 将语言模型应用于级联的单词识别格以确定单词识别格子之间的关系并重复，直到生成的单词识别格子可接受或仅与预定值不同，仅通过阈值量。 这些动态可重配置语音识别技术提供了诸如移动电话和个人数字助理以及诸如办公室，家庭或车辆等环境的语音识别部署，同时保持语音识别的准确性。
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公开(公告)号：US08346550B2
公开(公告)日：2013-01-01
申请号：US13026900
申请日：2011-02-14
申请人： Richard C. Rose , Sarangarajan Pathasarathy , Aaron Edward Rosenberg , Shrikanth Sambasivan Narayanan
发明人： Richard C. Rose , Sarangarajan Pathasarathy , Aaron Edward Rosenberg , Shrikanth Sambasivan Narayanan
IPC分类号： G10L15/00
CPC分类号： G10L15/04 , G10L15/063 , G10L15/08 , G10L15/197 , G10L15/22 , G10L2015/0631
摘要： An automatic speech recognition (ASR) system and method is provided for controlling the recognition of speech utterances generated by an end user operating a communications device. The ASR system and method can be used with a mobile device that is used in a communications network. The ASR system can be used for ASR of speech utterances input into a mobile device, to perform compensating techniques using at least one characteristic and for updating an ASR speech recognizer associated with the ASR system by determined and using a background noise value and a distortion value that is based on the features of the mobile device. The ASR system can be used to augment a limited data input capability of a mobile device, for example, caused by limited input devices physically located on the mobile device.
摘要翻译： 提供了一种自动语音识别（ASR）系统和方法，用于控制由操作通信设备的终端用户生成的语音话音的识别。 ASR系统和方法可以与在通信网络中使用的移动设备一起使用。 ASR系统可以用于输入到移动设备的语音话语的ASR，使用至少一个特征来执行补偿技术，并通过确定并使用背景噪声值和失真值来更新与ASR系统相关联的ASR语音识别器 这是基于移动设备的功能。 ASR系统可用于增加移动设备的有限数据输入能力，例如由物理上位于移动设备上的有限输入设备引起的。
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