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1. 发明申请

US20120290299A1 Translating Between Spoken and Written Language 有权
标题翻译：口语和书面语言之间的翻译
公开(公告)号：US20120290299A1
公开(公告)日：2012-11-15
申请号：US13107001
申请日：2011-05-13
申请人： Sara H. Basson , Rick Hamilton , Dan Ning Jiang , Dimitri Kanevsky , David Nahamoo , Michael Picheny , Bhuvana Ramabhadran , Tara N. Sainath
发明人： Sara H. Basson , Rick Hamilton , Dan Ning Jiang , Dimitri Kanevsky , David Nahamoo , Michael Picheny , Bhuvana Ramabhadran , Tara N. Sainath
IPC分类号： G10L15/26
CPC分类号： G06F17/28 , G06F17/2785 , G06F17/289 , G10L15/063 , G10L15/26
摘要： Techniques for converting spoken speech into written speech are provided. The techniques include transcribing input speech via speech recognition, mapping each spoken utterance from input speech into a corresponding formal utterance, and mapping each formal utterance into a stylistically formatted written utterance.
摘要翻译：提供了将语音转换为书面语音的技术。这些技术包括通过语音识别来转录输入语音，将来自输入语音的每个讲话话语映射成对应的形式发音，并将每个正式话语映射成风格格式化的书写话语。

2. 发明授权

US08856004B2 Text processing using natural language understanding 有权
公开(公告)号：US08856004B2
公开(公告)日：2014-10-07
申请号：US13107001
申请日：2011-05-13
申请人： Sara H. Basson , Rick Hamilton , Dan Ning Jiang , Dimitri Kanevsky , David Nahamoo , Michael Picheny , Bhuvana Ramabhadran , Tara N. Sainath
发明人： Sara H. Basson , Rick Hamilton , Dan Ning Jiang , Dimitri Kanevsky , David Nahamoo , Michael Picheny , Bhuvana Ramabhadran , Tara N. Sainath
IPC分类号： G10L15/26
CPC分类号： G06F17/28 , G06F17/2785 , G06F17/289 , G10L15/063 , G10L15/26
摘要： Techniques for converting spoken speech into written speech are provided. The techniques include transcribing input speech via speech recognition, mapping each spoken utterance from input speech into a corresponding formal utterance, and mapping each formal utterance into a stylistically formatted written utterance.

3. 发明申请

US20140039691A1 Multi-Dimensional Heating and Cooling System 有权
标题翻译：多维加热和冷却系统
公开(公告)号：US20140039691A1
公开(公告)日：2014-02-06
申请号：US13564006
申请日：2012-08-01
申请人： Sachin Gupta , Sara H. Basson , Dimitri Kanevsky , Tara N. Sainath , Pam Nesbitt , Dan Ning Jiang
发明人： Sachin Gupta , Sara H. Basson , Dimitri Kanevsky , Tara N. Sainath , Pam Nesbitt , Dan Ning Jiang
IPC分类号： F24F11/00
CPC分类号： G05D23/1932 , F24F11/0001 , F24F2120/20
摘要： Methods and system for facilitating multi-dimensional personal heating and cooling. User information is used as a mean to configure the temperature in a surrounding environment, thereby facilitating comfort for a user and, in the case wherein multiple users are accessing an area, classifying the area into a number of regions and maintaining each region at a different temperature and guiding the users to desired regions.
摘要翻译：促进多维个人加热和冷却的方法和系统。用户信息被用作在周围环境中配置温度的平均值，从而促进用户的舒适度，并且在多个用户正在访问区域的情况下，将该区域分类成多个区域并且将每个区域维持在不同的区域将用户引导到所需的区域。

4. 发明申请

US20130198761A1 Intelligent Dialogue Amongst Competitive User Applications 有权
标题翻译：竞争用户应用之间的智能对话
公开(公告)号：US20130198761A1
公开(公告)日：2013-08-01
申请号：US13363727
申请日：2012-02-01
申请人： Sara H. Basson , Sasha P. Caskey , Dan Ning Jiang , Dimitri Kanevsky , Tara N. Sainath
发明人： Sara H. Basson , Sasha P. Caskey , Dan Ning Jiang , Dimitri Kanevsky , Tara N. Sainath
IPC分类号： G06F9/54
CPC分类号： G06Q30/0281
摘要： A method, an apparatus and an article of manufacture for enabling communication between at least two computer applications that is observable to a user. The method includes obtaining a description of functions for each of the at least two computer applications, comparing the description of functions for each of the at least two computer applications, generating a dialog between the at least two applications based on the comparing of the description of functions for each of the at least two computer applications, and making the dialog available to a user.
摘要翻译：一种用于实现可被用户观察的至少两个计算机应用之间的通信的方法，装置和制品。所述方法包括获得所述至少两个计算机应用中的每一个的功能的描述，比较所述至少两个计算机应用中的每一个的功能的描述，基于所述至少两个计算机应用的描述的比较来生成所述至少两个应用之间的对话对于至少两个计算机应用程序中的每一个应用程序的功能，以及使对话可用于用户。

5. 发明授权

US09152154B2 Multi-dimensional heating and cooling system 有权
标题翻译：多维加热和冷却系统
公开(公告)号：US09152154B2
公开(公告)日：2015-10-06
申请号：US13564006
申请日：2012-08-01
申请人： Sachin Gupta , Sara H. Basson , Dimitri Kanevsky , Tara N. Sainath , Pam Nesbitt , Dan Ning Jiang
发明人： Sachin Gupta , Sara H. Basson , Dimitri Kanevsky , Tara N. Sainath , Pam Nesbitt , Dan Ning Jiang
IPC分类号： G05D23/00 , G05D23/19 , F24F11/00
CPC分类号： G05D23/1932 , F24F11/0001 , F24F2120/20
摘要： Methods and system for facilitating multi-dimensional personal heating and cooling. User information is used as a mean to configure the temperature in a surrounding environment, thereby facilitating comfort for a user and, in the case wherein multiple users are accessing an area, classifying the area into a number of regions and maintaining each region at a different temperature and guiding the users to desired regions.
摘要翻译：促进多维个人加热和冷却的方法和系统。用户信息被用作在周围环境中配置温度的平均值，从而促进用户的舒适度，并且在多个用户正在访问区域的情况下，将该区域分类成多个区域并且将每个区域维持在不同的区域将用户引导到所需的区域。

6. 发明授权

US08825533B2 Intelligent dialogue amongst competitive user applications 有权
标题翻译：竞争激烈的用户应用之间的智能对话
公开(公告)号：US08825533B2
公开(公告)日：2014-09-02
申请号：US13363727
申请日：2012-02-01
申请人： Sara H. Basson , Sasha P. Caskey , Dan Ning Jiang , Dimitri Kanevsky , Tara N. Sainath
发明人： Sara H. Basson , Sasha P. Caskey , Dan Ning Jiang , Dimitri Kanevsky , Tara N. Sainath
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0281
摘要： A method, an apparatus and an article of manufacture for enabling communication between at least two computer applications that is observable to a user. The method includes obtaining a description of functions for each of the at least two computer applications, comparing the description of functions for each of the at least two computer applications, generating a dialog between the at least two applications based on the comparing of the description of functions for each of the at least two computer applications, and making the dialog available to a user.
摘要翻译：一种用于实现可被用户观察的至少两个计算机应用之间的通信的方法，装置和制品。所述方法包括获得所述至少两个计算机应用中的每一个的功能的描述，比较所述至少两个计算机应用中的每一个的功能的描述，基于所述至少两个计算机应用的描述的比较来生成所述至少两个应用之间的对话对于至少两个计算机应用程序中的每一个应用程序的功能，以及使对话可用于用户。

7. 发明授权

US08484024B2 Phonetic features for speech recognition 有权
标题翻译：用于语音识别的语音特征
公开(公告)号：US08484024B2
公开(公告)日：2013-07-09
申请号：US13034293
申请日：2011-02-24
申请人： Dimitri Kanevsky , David Nahamoo , Bhuvana Ramabhadran , Tara N. Sainath
发明人： Dimitri Kanevsky , David Nahamoo , Bhuvana Ramabhadran , Tara N. Sainath
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G10L15/02 , G10L15/083 , G10L2015/025 , G10L2015/0631
摘要： Techniques are disclosed for using phonetic features for speech recognition. For example, a method comprises the steps of obtaining a first dictionary and a training data set associated with a speech recognition system, computing one or more support parameters from the training data set, transforming the first dictionary into a second dictionary, wherein the second dictionary is a function of one or more phonetic labels of the first dictionary, and using the one or more support parameters to select one or more samples from the second dictionary to create a set of one or more exemplar-based class identification features for a pattern recognition task.
摘要翻译：公开了使用语音特征进行语音识别的技术。例如，一种方法包括以下步骤：获得与语音识别系统相关联的第一字典和训练数据集，从训练数据集计算一个或多个支持参数，将第一字典变换为第二字典，其中第二字典是第一字典的一个或多个语音标签的功能，并且使用一个或多个支持参数从第二字典中选择一个或多个样本，以创建用于模式识别的一个或多个基于样本的类识别特征的集合任务。

8. 发明申请

US20120221333A1 Phonetic Features for Speech Recognition 有权
标题翻译：语音识别的语音特征
公开(公告)号：US20120221333A1
公开(公告)日：2012-08-30
申请号：US13034293
申请日：2011-02-24
申请人： Dimitri Kanevsky , David Nahamoo , Bhuvana Ramabhadran , Tara N. Sainath
发明人： Dimitri Kanevsky , David Nahamoo , Bhuvana Ramabhadran , Tara N. Sainath
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G10L15/02 , G10L15/083 , G10L2015/025 , G10L2015/0631
摘要： Techniques are disclosed for using phonetic features for speech recognition. For example, a method comprises the steps of obtaining a first dictionary and a training data set associated with a speech recognition system, computing one or more support parameters from the training data set, transforming the first dictionary into a second dictionary, wherein the second dictionary is a function of one or more phonetic labels of the first dictionary, and using the one or more support parameters to select one or more samples from the second dictionary to create a set of one or more exemplar-based class identification features for a pattern recognition task.
摘要翻译：公开了使用语音特征进行语音识别的技术。例如，一种方法包括以下步骤：获得与语音识别系统相关联的第一字典和训练数据集，从训练数据集计算一个或多个支持参数，将第一字典变换为第二字典，其中第二字典是第一字典的一个或多个语音标签的功能，并且使用一个或多个支持参数从第二字典中选择一个或多个样本，以创建用于模式识别的一个或多个基于样本的类识别特征的集合任务。

9. 发明申请

US20110282925A1 DIRECTIONAL OPTIMIZATION VIA EBW 有权
标题翻译：通过EBW进行方向优化
公开(公告)号：US20110282925A1
公开(公告)日：2011-11-17
申请号：US12777768
申请日：2010-05-11
申请人： DIMITRI KANEVSKY , David Nahamoo , Bhuvana Ramabhadran , Tara N. Sainath
发明人： DIMITRI KANEVSKY , David Nahamoo , Bhuvana Ramabhadran , Tara N. Sainath
IPC分类号： G06F1/02 , G06F17/11
CPC分类号： G06F17/11
摘要： An optimization system and method includes determining a best gradient as a sparse direction in a function having a plurality of parameters. The sparse direction includes a direction that maximizes change of the function. This maximum change of the function is determined by performing an optimization process that gives maximum growth subject to a sparsity regularized constraint. An extended Baum Welch (EBW) method can be used to identify the sparse direction. A best step size is determined along the sparse direction by finding magnitudes of entries of direction that maximizes the function restricted to the sparse direction. A solution is recursively refined for the function optimization using a processor and storage media.
摘要翻译：优化系统和方法包括在具有多个参数的函数中确定最佳梯度作为稀疏方向。稀疏方向包括使功能变化最大化的方向。通过执行优化处理来确定功能的最大变化，该优化过程允许受到稀疏正则化约束的最大增长。扩展的Baum Welch（EBW）方法可用于识别稀疏方向。通过找到使限于稀疏方向的功能最大化的方向条目的大小，沿着稀疏方向确定最佳步长。使用处理器和存储介质递归地优化了功能优化的解决方案。

10. 发明授权

US08484023B2 Sparse representation features for speech recognition 有权
标题翻译：用于语音识别的稀疏表示特征
公开(公告)号：US08484023B2
公开(公告)日：2013-07-09
申请号：US12889845
申请日：2010-09-24
申请人： Dimitri Kanevsky , David Nahamoo , Bhuvana Ramabhadran , Tara N. Sainath
发明人： Dimitri Kanevsky , David Nahamoo , Bhuvana Ramabhadran , Tara N. Sainath
IPC分类号： G10L15/06
CPC分类号： G10L15/02
摘要： Techniques are disclosed for generating and using sparse representation features to improve speech recognition performance. In particular, principles of the invention provide sparse representation exemplar-based recognition techniques. For example, a method comprises the following steps. A test vector and a training data set associated with a speech recognition system are obtained. A subset of the training data set is selected. The test vector is mapped with the selected subset of the training data set as a linear combination that is weighted by a sparseness constraint such that a new test feature set is formed wherein the training data set is moved more closely to the test vector subject to the sparseness constraint. An acoustic model is trained on the new test feature set. The acoustic model trained on the new test feature set may be used to decode user speech input to the speech recognition system.
摘要翻译：公开了用于生成和使用稀疏表示特征以改善语音识别性能的技术。特别地，本发明的原理提供了基于示例的稀疏表示识别技术。例如，一种方法包括以下步骤。获得与语音识别系统相关联的测试向量和训练数据集。选择训练数据集的子集。将测试向量与所选择的训练数据集的子集映射为由稀疏约束加权的线性组合，使得形成新的测试特征集合，其中训练数据集更接近地移动到受测对象的测试向量稀疏约束在新的测试功能集上训练声学模型。在新测试特征集上训练的声学模型可以用于解码输入到语音识别系统的用户语音。

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