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公开(公告)号：US08099284B2
公开(公告)日：2012-01-17
申请号：US12772564
申请日：2010-05-03
CPC分类号： G10L15/30 , G10L15/285
摘要： A digital speech enabled middleware module is disclosed that facilitates interaction between a large number of client devices and network-based automatic speech recognition (ASR) resources. The module buffers feature vectors associated with speech received from the client devices when the number of client devices is greater than the available ASR resources. When an ASR decoder becomes available, the module transmits the feature vectors to the ASR decoder and a recognition result is returned.
摘要翻译： 公开了一种促进数字语音的中间件模块，其促进大量客户端设备和基于网络的自动语音识别（ASR）资源之间的交互。 当客户端设备的数量大于可用的ASR资源时，模块缓冲器与从客户端设备接收到的语音相关联的特征向量。 当ASR解码器变得可用时，模块将特征向量发送到ASR解码器，并返回识别结果。
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公开(公告)号：US07711568B2
公开(公告)日：2010-05-04
申请号：US10406368
申请日：2003-04-03
IPC分类号： G10L21/00
CPC分类号： G10L15/30 , G10L15/285
摘要： A digital speech enabled middleware module is disclosed that facilitates interaction between a large number of client devices and network-based automatic speech recognition (ASR) resources. The module buffers feature vectors associated with speech received from the client devices when the number of client devices is greater than the available ASR resources. When an ASR decoder becomes available, the module transmits the feature vectors to the ASR decoder and a recognition result is returned.
摘要翻译： 公开了一种促进数字语音的中间件模块，其促进大量客户端设备和基于网络的自动语音识别（ASR）资源之间的交互。 当客户端设备的数量大于可用的ASR资源时，模块缓冲器与从客户端设备接收到的语音相关联的特征向量。 当ASR解码器变得可用时，模块将特征向量发送到ASR解码器，并返回识别结果。
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公开(公告)号：US20100211396A1
公开(公告)日：2010-08-19
申请号：US12772564
申请日：2010-05-03
CPC分类号： G10L15/30 , G10L15/285
摘要： A digital speech enabled middleware module is disclosed that facilitates interaction between a large number of client devices and network-based automatic speech recognition (ASR) resources. The module buffers feature vectors associated with speech received from the client devices when the number of client devices is greater than the available ASR resources. When an ASR decoder becomes available, the module transmits the feature vectors to the ASR decoder and a recognition result is returned.
摘要翻译： 公开了一种促进数字语音的中间件模块，其促进大量客户端设备和基于网络的自动语音识别（ASR）资源之间的交互。 当客户端设备的数量大于可用的ASR资源时，模块缓冲器与从客户端设备接收到的语音相关联的特征向量。 当ASR解码器变得可用时，模块将特征向量发送到ASR解码器，并返回识别结果。
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4.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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公开(公告)号：US07822603B1
公开(公告)日：2010-10-26
申请号：US12115034
申请日：2008-05-05
IPC分类号： G10L21/00
CPC分类号： G10L15/065 , G10L15/06 , G10L15/07 , G10L15/24 , G10L15/30 , G10L21/007
摘要： A system and method of updating automatic speech recognition parameters on a mobile device are disclosed. The method comprises storing user account-specific adaptation data associated with ASR on a computing device associated with a wireless network, generating new ASR adaptation parameters based on transmitted information from the mobile device when a communication channel between the computing device and the mobile device becomes available and transmitting the new ASR adaptation data to the mobile device when a communication channel between the computing device and the mobile device becomes available. The new ASR adaptation data on the mobile device more accurately recognizes user utterances.
摘要翻译： 公开了一种在移动设备上更新自动语音识别参数的系统和方法。 该方法包括在与无线网络相关联的计算设备上存储与ASR相关联的用户特定的适配数据，当计算设备和移动设备之间的通信信道变得可用时，基于来自移动设备的传输信息生成新的ASR适配参数 以及当所述计算设备和所述移动设备之间的通信信道变得可用时，将所述新的ASR适配数据发送到所述移动设备。 移动设备上的新的ASR适配数据更准确地识别用户话语。
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公开(公告)号：US07386443B1
公开(公告)日：2008-06-10
申请号：US10754927
申请日：2004-01-09
IPC分类号： G10L11/00
CPC分类号： G10L15/065 , G10L15/06 , G10L15/07 , G10L15/24 , G10L15/30 , G10L21/007
摘要： A system and method of updating automatic speech recognition parameters on a mobile device are disclosed. The method comprises storing user account-specific adaptation data associated with ASR on a computing device associated with a wireless network, generating new ASR adaptation parameters based on transmitted information from the mobile device when a communication channel between the computing device and the mobile device becomes available and transmitting the new ASR adaptation data to the mobile device when a communication channel between the computing device and the mobile device becomes available. The new ASR adaptation data on the mobile device more accurately recognizes user utterances.
摘要翻译： 公开了一种在移动设备上更新自动语音识别参数的系统和方法。 该方法包括在与无线网络相关联的计算设备上存储与ASR相关联的用户特定的适配数据，当计算设备和移动设备之间的通信信道变得可用时，基于来自移动设备的传输信息生成新的ASR适配参数 以及当所述计算设备和所述移动设备之间的通信信道变得可用时，将所述新的ASR适配数据发送到所述移动设备。 移动设备上的新的ASR适配数据更准确地识别用户话语。
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公开(公告)号：US20120072212A1
公开(公告)日：2012-03-22
申请号：US13302352
申请日：2011-11-22
IPC分类号： G10L15/00
CPC分类号： G10L15/065 , G10L15/06 , G10L15/07 , G10L15/24 , G10L15/30 , G10L21/007
摘要： A system and method of updating automatic speech recognition parameters on a mobile device are disclosed. The method comprises storing user account-specific adaptation data associated with ASR on a computing device associated with a wireless network, generating new ASR adaptation parameters based on transmitted information from the mobile device when a communication channel between the computing device and the mobile device becomes available and transmitting the new ASR adaptation data to the mobile device when a communication channel between the computing device and the mobile device becomes available. The new ASR adaptation data on the mobile device more accurately recognizes user utterances.
摘要翻译： 公开了一种在移动设备上更新自动语音识别参数的系统和方法。 该方法包括在与无线网络相关联的计算设备上存储与ASR相关联的用户特定的适配数据，当计算设备和移动设备之间的通信信道变得可用时，基于来自移动设备的传输信息生成新的ASR适配参数 以及当所述计算设备和所述移动设备之间的通信信道变得可用时，将所述新的ASR适配数据发送到所述移动设备。 移动设备上的新的ASR适配数据更准确地识别用户话语。
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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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公开(公告)号：US08296138B2
公开(公告)日：2012-10-23
申请号：US13302352
申请日：2011-11-22
IPC分类号： G10L15/00
CPC分类号： G10L15/065 , G10L15/06 , G10L15/07 , G10L15/24 , G10L15/30 , G10L21/007
摘要： A system and method of updating automatic speech recognition parameters on a mobile device are disclosed. The method comprises storing user account-specific adaptation data associated with ASR on a computing device associated with a wireless network, generating new ASR adaptation parameters based on transmitted information from the mobile device when a communication channel between the computing device and the mobile device becomes available and transmitting the new ASR adaptation data to the mobile device when a communication channel between the computing device and the mobile device becomes available. The new ASR adaptation data on the mobile device more accurately recognizes user utterances.
摘要翻译： 公开了一种在移动设备上更新自动语音识别参数的系统和方法。 该方法包括在与无线网络相关联的计算设备上存储与ASR相关联的用户特定的适配数据，当计算设备和移动设备之间的通信信道变得可用时，基于来自移动设备的传输信息生成新的ASR适配参数 以及当所述计算设备和所述移动设备之间的通信信道变得可用时，将所述新的ASR适配数据发送到所述移动设备。 移动设备上的新的ASR适配数据更准确地识别用户话语。
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10.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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