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1. 发明授权

US08571857B2 System and method for generating models for use in automatic speech recognition 有权
标题翻译：用于生成用于自动语音识别的模型的系统和方法
公开(公告)号：US08571857B2
公开(公告)日：2013-10-29
申请号：US12908222
申请日：2010-10-20
申请人： John Mocenigo , Mazin Gilbert , Heather Wighton
发明人： John Mocenigo , Mazin Gilbert , Heather Wighton
IPC分类号： G10L15/00
CPC分类号： G10L15/063 , G10L2015/0638
摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating a model for use with automatic speech recognition. These principles can be implemented as part of a streamlined tool for automatic training and tuning of speech, or other, models with a fast turnaround and with limited human involvement. A system configured to practice the method receives, as part of a request to generate a model, input data and a seed model. The system receives a cost function indicating accuracy and at least one of speed and memory usage, The system processes the input data based on seed model and based on parameters that optimize the cost function to yield an updated model, and outputs the updated model.
摘要翻译：这里公开了用于生成用于自动语音识别的模型的系统，方法和非暂时的计算机可读存储介质。这些原则可以作为精简工具的一部分，用于自动训练和调整语音或其他模型，具有快速的周转时间和人力参与有限。配置为练习该方法的系统作为生成模型的请求的一部分接收输入数据和种子模型。系统接收指示精度和速度和存储器使用中的至少一个的成本函数。系统基于种子模型处理输入数据，并且基于优化成本函数以产生更新模型的参数，并输出更新的模型。

2. 发明申请

US20120101817A1 SYSTEM AND METHOD FOR GENERATING MODELS FOR USE IN AUTOMATIC SPEECH RECOGNITION 有权
标题翻译：用于生成用于自动语音识别的模型的系统和方法
公开(公告)号：US20120101817A1
公开(公告)日：2012-04-26
申请号：US12908222
申请日：2010-10-20
申请人： John MOCENIGO , Mazin Gilbert , Heather Wighton
发明人： John MOCENIGO , Mazin Gilbert , Heather Wighton
IPC分类号： G10L15/00
CPC分类号： G10L15/063 , G10L2015/0638
摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating a model for use with automatic speech recognition. These principles can be implemented as part of a streamlined tool for automatic training and tuning of speech, or other, models with a fast turnaround and with limited human involvement. A system configured to practice the method receives, as part of a request to generate a model, input data and a seed model. The system receives a cost function indicating accuracy and at least one of speed and memory usage, The system processes the input data based on seed model and based on parameters that optimize the cost function to yield an updated model, and outputs the updated model.
摘要翻译：这里公开了用于生成用于自动语音识别的模型的系统，方法和非暂时的计算机可读存储介质。这些原则可以作为精简工具的一部分，用于自动训练和调整语音或其他模型，具有快速的周转时间和人力参与有限。配置为练习该方法的系统作为生成模型的请求的一部分接收输入数据和种子模型。系统接收指示精度和速度和存储器使用中的至少一个的成本函数。系统基于种子模型处理输入数据，并且基于优化成本函数以产生更新模型的参数，并输出更新的模型。

3. 发明授权

US09679561B2 System and method for rapid customization of speech recognition models 有权
公开(公告)号：US09679561B2
公开(公告)日：2017-06-13
申请号：US13072920
申请日：2011-03-28
申请人： Srinivas Bangalore , Robert Bell , Diamantino Antonio Caseiro , Mazin Gilbert , Patrick Haffner
发明人： Srinivas Bangalore , Robert Bell , Diamantino Antonio Caseiro , Mazin Gilbert , Patrick Haffner
IPC分类号： G10L15/183 , G10L15/30 , G10L15/22 , G10L15/06 , G10L15/065
CPC分类号： G10L15/183 , G10L15/06 , G10L15/065 , G10L15/22 , G10L15/30 , G10L2015/0635 , G10L2015/0636 , G10L2015/228
摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating domain-specific speech recognition models for a domain of interest by combining and tuning existing speech recognition models when a speech recognizer does not have access to a speech recognition model for that domain of interest and when available domain-specific data is below a minimum desired threshold to create a new domain-specific speech recognition model. A system configured to practice the method identifies a speech recognition domain and combines a set of speech recognition models, each speech recognition model of the set of speech recognition models being from a respective speech recognition domain. The system receives an amount of data specific to the speech recognition domain, wherein the amount of data is less than a minimum threshold to create a new domain-specific model, and tunes the combined speech recognition model for the speech recognition domain based on the data.

4. 发明授权

US09213978B2 System and method for speech trend analytics with objective function and feature constraints 有权
标题翻译：具有目标函数和特征约束的语音趋势分析的系统和方法
公开(公告)号：US09213978B2
公开(公告)日：2015-12-15
申请号：US12895337
申请日：2010-09-30
申请人： Ilya Dan Melamed , Mazin Gilbert
发明人： Ilya Dan Melamed , Mazin Gilbert
IPC分类号： G10L25/27 , G10L25/72 , G06Q30/00 , G06F17/30
CPC分类号： G06N7/005 , G06F17/30684 , G06Q30/01
摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for performing trend analysis of speech. A system practicing the method receives a speech trend analysis request having candidate feature constraints, an objective function with respect to a speech trend to be analyzed, and a set of speech record constraints. The system selects a subset of speech records from the group of speech records based on the set of speech record constraints to yield selected speech records, identifies features in the selected speech records based on the set of candidate feature constraints to yield identified features, and assigns a weight to each of the identified features based on the objective function. Then the system ranks the identified features by their respective weights to yield ranked identified features, and outputs at least one of the ranked identified features associated with a speech-based trend in response to the speech trend analysis request.
摘要翻译：这里公开了用于执行语音趋势分析的系统，方法和非暂时的计算机可读存储介质。实施该方法的系统接收具有候选特征约束的语音趋势分析请求，关于待分析的语音趋势的目标函数和一组语音记录约束。该系统基于语音记录约束集从语音记录组中选择语音记录的子集，以产生所选择的语音记录，基于候选特征约束集来识别所选语音记录中的特征，以产生所识别的特征，并且分配基于目标函数对每个识别的特征的权重。然后，系统通过它们各自的权重对所识别的特征进行排序，以产生排名确定的特征，并响应于语音趋势分析请求输出与基于语音的趋势相关联的排名确定的特征中的至少一个。

5. 发明授权

US09026915B1 System and method for creating a presentation using natural language 有权
标题翻译：使用自然语言创建演示文稿的系统和方法
公开(公告)号：US09026915B1
公开(公告)日：2015-05-05
申请号：US11263051
申请日：2005-10-31
申请人： Patrick Ehlen , David Crawford Gibbon , Mazin Gilbert , Michael Johnston , Zhu Liu , Behzad Shahraray
发明人： Patrick Ehlen , David Crawford Gibbon , Mazin Gilbert , Michael Johnston , Zhu Liu , Behzad Shahraray
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/24 , G06F3/0481 , G06F3/0482 , G06F3/167 , G06F17/211 , G06F17/241 , G06F17/28 , G06F17/30056 , G06F17/30418 , G06F17/30781 , G06F17/30864 , G06F17/30867 , G06Q10/10 , G10L15/22 , G10L15/26 , G11B27/105 , H04N5/74
摘要： The invention provides for a system, method, and computer readable medium storing instructions related to controlling a presentation in a multimodal system. The method embodiment of the invention is a method for the retrieval of information on the basis of its content for incorporation into an electronic presentation. The method comprises receiving from a user a content-based request for at least one segment from a first plurality of segments within a media presentation preprocessed to enable natural language content searchability; in response to the request, presenting a subset of the first plurality of segments to the user; receiving a selection indication from the user associated with at least one segment of the subset of the first plurality of segments and adding the selected at least one segment to a deck for use in a presentation.
摘要翻译：本发明提供了一种系统，方法和计算机可读介质，其存储与在多模式系统中控制演示有关的指令。本发明的方法实施例是一种用于基于其内容检索信息的方法，用于并入电子呈现。该方法包括从用户接收基于内容的对来自预处理的媒体表现中的第一多个段中的至少一个段的请求，以实现自然语言内容可搜索性; 响应于所述请求，向所述用户呈现所述第一多个段的子集; 从所述用户接收与所述第一多个段的所述子集的至少一个段相关联的选择指示，并且将所选择的至少一个段添加到用于呈现的甲板。

6. 发明授权

US08930237B2 Using web-mining to enrich directory service databases and soliciting service subscriptions 有权
公开(公告)号：US08930237B2
公开(公告)日：2015-01-06
申请号：US13543846
申请日：2012-07-08
申请人： Narendra Gupta , Mazin Gilbert , Benjamin J. Stern
发明人： Narendra Gupta , Mazin Gilbert , Benjamin J. Stern
IPC分类号： G06Q30/00
CPC分类号： G06F17/30864
摘要： A system and method are provided for augmenting information on business directory databases and communicating with businesses is disclosed. Using the enriched business directory database and Web mining technology, customized email message are sent inviting businesses to enter their enriched business information into the directory or even subscribe to other paid services provided by the directory service.

7. 发明授权

US08805668B2 On-demand language translation for television programs 有权
标题翻译：电视节目的按需语言翻译
公开(公告)号：US08805668B2
公开(公告)日：2014-08-12
申请号：US12897149
申请日：2010-10-04
申请人： Srinivas Bangalore , David Crawford Gibbon , Mazin Gilbert , Patrick Guy Haffner , Zhu Liu , Behzad Shahraray
发明人： Srinivas Bangalore , David Crawford Gibbon , Mazin Gilbert , Patrick Guy Haffner , Zhu Liu , Behzad Shahraray
IPC分类号： G06F17/28
CPC分类号： G06F17/289
摘要： In an embodiment, a method of providing an on demand translation service is provided. A subscriber may be charged a reduced fee or no fee for use of the on demand translation service in exchange for displaying commercial messages to the subscriber, the commercial messages being selected based on subscriber information. A multimedia signal including information in a source language may be received. The information may be obtained as text in the source language from the multimedia signal. The text may be translated from the source language to a target language. Translated information, based on the translated text, may be transmitted to a processing device for presentation to the subscriber. The received multimedia signal may be sent to a multimedia device for viewing.
摘要翻译：在一个实施例中，提供了提供按需翻译服务的方法。用户可能被收取减少的费用或不使用按需翻译服务的费用，以便向订户显示商业消息，基于用户信息选择商业消息。可以接收包括源语言的信息的多媒体信号。可以从多媒体信号中获取源语言中的文本信息。文本可以从源语言翻译成目标语言。基于翻译的文本的翻译信息可以被发送到处理设备以呈现给订阅者。所接收的多媒体信号可以被发送到多媒体设备以供观看。

8. 发明授权

US08538752B2 Method and apparatus for predicting word accuracy in automatic speech recognition systems 有权
标题翻译：在自动语音识别系统中预测字精度的方法和装置
公开(公告)号：US08538752B2
公开(公告)日：2013-09-17
申请号：US13465886
申请日：2012-05-07
申请人： Mazin Gilbert , Hong Kook Kim
发明人： Mazin Gilbert , Hong Kook Kim
IPC分类号： G10L15/00 , G10L21/02 , G10L15/20 , G10L19/14 , G10L15/04 , G10L15/28
CPC分类号： G10L15/20 , G10L15/10
摘要： The invention comprises a method and apparatus for predicting word accuracy. Specifically, the method comprises obtaining an utterance in speech data where the utterance comprises an actual word string, processing the utterance for generating an interpretation of the actual word string, processing the utterance to identify at least one utterance frame, and predicting a word accuracy associated with the interpretation according to at least one stationary signal-to-noise ratio and at least one non-stationary signal to noise ratio, wherein the at least one stationary signal-to-noise ratio and the at least one non-stationary signal to noise ratio are determined according to a frame energy associated with each of the at least one utterance frame.
摘要翻译：本发明包括一种用于预测词精度的方法和装置。具体地说，该方法包括获得语音数据中的话语，其中话语包括实际字串，处理用于产生实际字串的解释的话语，处理话语以识别至少一个话语帧，以及预测相关的单词精度根据至少一个稳定的信噪比和至少一个非平稳的信噪比的解释，其中所述至少一个固定信噪比和所述至少一个非平稳信号与噪声根据与所述至少一个话音帧中的每一个相关联的帧能量确定比率。

9. 发明申请

US20120290435A1 SYSTEM AND METHOD FOR AN ENHANCED SHOPPING EXPERIENCE 审中-公开
标题翻译：用于增强购物体验的系统和方法
公开(公告)号：US20120290435A1
公开(公告)日：2012-11-15
申请号：US13554578
申请日：2012-07-20
申请人： Douglas Keith Trotman , Jay Wilpon , Mazin Gilbert , Giuseppe Di Fabbrizio
发明人： Douglas Keith Trotman , Jay Wilpon , Mazin Gilbert , Giuseppe Di Fabbrizio
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0601 , G06Q30/0643
摘要： Disclosed herein are systems, methods, and computer readable-media for creating a virtual shopping area. The method includes receiving a query from a user and an automated input specific to the user from a computing device, generating a list of merchants based on the query and the automated input, generating a virtual shopping area from the list of merchants and based on one or more constraints, and displaying the virtual shopping area on the computing device. One optional step is presenting to the user an interface to purchase query-related items from merchants in the virtual shopping area. The method optionally includes receiving an indication of intent to purchase an item from the user, displaying an image of the item to the user, and dynamically updating the displayed image of the item as the user specifies item-specific details. The list of merchants can be restricted to merchants geographically close to the user.
摘要翻译：这里公开了用于创建虚拟购物区域的系统，方法和计算机可读介质。该方法包括从计算设备接收来自用户的查询和用户特有的自动输入，基于查询和自动输入生成商家列表，从商家列表中生成虚拟购物区域，并基于一个或更多的约束，以及在计算设备上显示虚拟购物区域。一个可选步骤向用户呈现从虚拟购物区域中的商家购买查询相关项目的界面。该方法可选地包括从用户接收用于购买项目的意图的指示，向用户显示该项目的图像，并且在用户指定项目特定细节时动态地更新该项目的显示图像。商家列表可以限于地理位置靠近用户的商家。

10. 发明授权

US08170866B2 System and method for increasing accuracy of searches based on communication network 有权
标题翻译：基于通信网络提高搜索精度的系统和方法
公开(公告)号：US08170866B2
公开(公告)日：2012-05-01
申请号：US13164347
申请日：2011-06-20
申请人： Mazin Gilbert , Christopher Volinsky
发明人： Mazin Gilbert , Christopher Volinsky
IPC分类号： G10L17/20
CPC分类号： G10L15/193 , G10L15/065 , G10L2015/228
摘要： Disclosed are systems, methods and computer-readable media for using a local communication network to generate a speech model. The method includes retrieving for an individual a list of numbers in a calling history, identifying a local neighborhood associated with each number in the calling history, truncating the local neighborhood associated with each number based on the at least one parameter, retrieving a local communication network associated with each number in the calling history and each phone number in the local neighborhood, and creating a language model for the individual based on the retrieved local communication network. The generated language model may be used for improved automatic speech recognition for audible searches as well as other modules in a spoken dialog system.
摘要翻译：公开了用于使用本地通信网络生成语音模型的系统，方法和计算机可读介质。该方法包括检索个人在呼叫历史中的号码列表，识别与呼叫历史中的每个号码相关联的本地邻域，基于该至少一个参数截断与每个号码相关联的本地邻域，检索本地通信网络与呼叫历史中的每个号码和本地邻域中的每个电话号码相关联，以及基于所检索的本地通信网络为个人创建语言模型。生成的语言模型可以用于改善声音搜索的自动语音识别以及口语对话系统中的其他模块。

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