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1. 发明申请

US20120016674A1 Modification of Speech Quality in Conversations Over Voice Channels 审中-公开
标题翻译：语音通话对话中语音质量的修改
公开(公告)号：US20120016674A1
公开(公告)日：2012-01-19
申请号：US12838103
申请日：2010-07-16
申请人： Sarah H. Basson , Dimitri Kanevsky , David Nahamoo , Tara N. Sainath
发明人： Sarah H. Basson , Dimitri Kanevsky , David Nahamoo , Tara N. Sainath
IPC分类号： G10L13/00
CPC分类号： G10L19/0018 , G10L2021/0135
摘要： Techniques are disclosed for modifying speech quality in a conversation over a voice channel. For example, a method for modifying a speech quality associated with a spoken utterance transmittable over a voice channel comprises the following steps. The spoken utterance is obtained prior to an intended recipient of the spoken utterance receiving the spoken utterance. An existing speech quality of the spoken utterance is determined. The existing speech quality of the spoken utterance is compared to at least one desired speech quality associated with at least one previously obtained spoken utterance to determine whether the existing speech quality substantially matches the desired speech quality. At least one characteristic of the spoken utterance is modified to change the existing speech quality of the spoken utterance to the desired speech quality when the existing speech quality does not substantially match the desired speech quality. The spoken utterance is presented with the desired speech quality to the intended recipient.
摘要翻译：公开了用于通过语音信道修改会话中的语音质量的技术。例如，用于修改与可通过语音信道传输的口语话语相关联的语音质量的方法包括以下步骤。口语发音是在接受口语发音的口语发音之前获得的。确定说话话语的现有语音质量。将口语发音的现有语音质量与与至少一个先前获得的口语话语相关联的至少一个期望语音质量进行比较，以确定现有语音质量是否与所需语音质量基本匹配。修改口语发音的至少一个特征，以便当现有语音质量基本上不符合期望的语音质量时，将口语发音的现有语音质量改变为所需语音质量。讲话话语以期望的语音质量呈现给预期的接收者。

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. 发明授权

US08856002B2 Distance metrics for universal pattern processing tasks 有权
标题翻译：通用模式处理任务的距离度量
公开(公告)号：US08856002B2
公开(公告)日：2014-10-07
申请号：US12101791
申请日：2008-04-11
申请人： Dimitri Kanevsky , David Nahamoo , Tara N Sainath
发明人： Dimitri Kanevsky , David Nahamoo , Tara N Sainath
IPC分类号： G10L15/26 , G10L15/14 , G10L15/00 , G10L15/28 , G10L21/00 , G10L17/04 , G10L15/06
CPC分类号： G10L17/04 , G10L15/063
摘要： A universal pattern processing system receives input data and produces output patterns that are best associated with said data. The system uses input means receiving and processing input data, a universal pattern decoder means transforming models using the input data and associating output patterns with original models that are changed least during transforming, and output means outputting best associated patterns chosen by a pattern decoder means.
摘要翻译：通用模式处理系统接收输入数据并产生最好与所述数据相关联的输出模式。该系统使用输入装置接收和处理输入数据，通用模式解码器装置使用输入数据变换模型，并将输出模式与在变换期间最小变化的原始模型相关联，以及输出装置输出由模式解码器装置选择的最佳相关模式。

4. 发明申请

US20110304446A1 SYSTEM FOR PREVENTING HANDHELD DEVICE USE WHILE OPERATING A VEHICLE 有权
标题翻译：用于在驾驶车辆时使用手持装置的系统
公开(公告)号：US20110304446A1
公开(公告)日：2011-12-15
申请号：US12814429
申请日：2010-06-11
申请人： Sara H. Basson , Dimitri Kanevsky , David Nahamoo , Tara N. Sainath
发明人： Sara H. Basson , Dimitri Kanevsky , David Nahamoo , Tara N. Sainath
IPC分类号： B60Q1/00 , G06F7/04
CPC分类号： H04W48/04 , B60K28/063 , B60W2540/28
摘要： Techniques for preventing a driver of a moving vehicle from using a handheld device while driving. An example system of the invention includes a plurality of biometric sensors configured to receive biometric data from the driver and a user of the handheld device. Contemporaneously with operation of the vehicle and the handheld device, the biometric data is analyzed in order to determine a match between the identity of the vehicle driver and the user of the handheld device. A controller is configured to selectively interrupt operation of the vehicle or handheld device upon detecting the match.
摘要翻译：用于在驾驶时防止移动车辆的驾驶员使用手持装置的技术。本发明的示例性系统包括被配置为从驾驶员和手持设备的用户接收生物测定数据的多个生物测定传感器。与车辆和手持设备的操作同时，分析生物特征数据，以便确定车辆驾驶员的身份与手持设备的用户之间的匹配。控制器被配置为在检测到匹配时选择性地中断车辆或手持设备的操作。

5. 发明授权

US08547214B2 System for preventing handheld device use while operating a vehicle 有权
标题翻译：用于在操作车辆时防止手持设备使用的系统
公开(公告)号：US08547214B2
公开(公告)日：2013-10-01
申请号：US12814429
申请日：2010-06-11
申请人： Sara H. Basson , Dimitri Kanevsky , David Nahamoo , Tara N. Sainath
发明人： Sara H. Basson , Dimitri Kanevsky , David Nahamoo , Tara N. Sainath
IPC分类号： G08B23/00 , G08B29/00 , B60Q1/00
CPC分类号： H04W48/04 , B60K28/063 , B60W2540/28
摘要： Techniques for preventing a driver of a moving vehicle from using a handheld device while driving. An example system of the invention includes a plurality of biometric sensors configured to receive biometric data from the driver and a user of the handheld device. Contemporaneously with operation of the vehicle and the handheld device, the biometric data is analyzed in order to determine a match between the identity of the vehicle driver and the user of the handheld device. A controller is configured to selectively interrupt operation of the vehicle or handheld device upon detecting the match.
摘要翻译：用于在驾驶时防止移动车辆的驾驶员使用手持装置的技术。本发明的示例性系统包括被配置为从驾驶员和手持设备的用户接收生物测定数据的多个生物测定传感器。与车辆和手持设备的操作同时，分析生物特征数据，以便确定车辆驾驶员的身份与手持设备的用户之间的匹配。控制器被配置为在检测到匹配时选择性地中断车辆或手持设备的操作。

6. 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。

7. 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。

8. 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。

9. 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。

10. 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。

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