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1.发明授权Method and circuit for noise estimation, related filter, terminal and communication network using same, and computer program product therefor 有权用于噪声估计的方法和电路，相关滤波器，使用其的终端和通信网络及其计算机程序产品公开(公告)号：US07613608B2
公开(公告)日：2009-11-03
申请号：US10579058
申请日：2003-11-12
CPC分类号： G10L21/0208
摘要： A filter such as a Wiener filter for noise reduction in a signal, such as a speech signal, affected by background noise includes a circuit for determining values of an update function relating new value of estimated noise power to a previous value of estimated noise power, the update function being a function of said previous estimated noise power and a mean input power spectral density. The circuit includes a look-up table having values for the update function stored therein with the previous value of estimated noise power and the mean input power spectral density as a first and a second search entry, respectively. These search entries are entered via an input module and exploited by search circuitry associated with the look-up table for selectively searching values for the update function in the look-up table. The search is preferably carried out on the basis of an index computed starting from said first and second search entries.
摘要翻译： 诸如用于噪声降低的维纳滤波器的滤波器（例如语音信号）受背景噪声的影响包括用于确定估计噪声功率的新值与估计噪声功率的先前值相关联的更新功能的值的电路， 所述更新功能是所述先前估计的噪声功率和平均输入功率谱密度的函数。 该电路包括一个查找表，其具有存储在其中的具有估计噪声功率的先前值和作为第一和第二搜索条目的平均输入功率谱密度的更新功能的值。 这些搜索条目通过输入模块输入，并由与查找表相关联的搜索电路利用，用于选择性地搜索查找表中的更新功能的值。 搜索优选地基于从所述第一和第二搜索条目开始计算的索引来执行。
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2.发明申请Method and circuit for noise estimation, related filter, terminal and communication network using same, and computer program product therefor 有权用于噪声估计的方法和电路，相关滤波器，使用其的终端和通信网络及其计算机程序产品公开(公告)号：US20070055506A1
公开(公告)日：2007-03-08
申请号：US10579058
申请日：2003-11-12
IPC分类号： G10L21/02
CPC分类号： G10L21/0208
摘要： A filter such as a Wiener filter for noise reduction in a signal, such as a speech signal, affected by background noise includes a circuit for determining values of an update function relating new value of estimated noise power to a previous value of estimated noise power, the update function being a function of said previous estimated noise power and a mean input power spectral density. The circuit includes a look-up table having values for the update function stored therein with the previous value of estimated noise power and the mean input power spectral density as a first and a second search entry, respectively. These search entries are entered via an input module and exploited by search circuitry associated with the look-up table for selectively searching values for the update function in the look-up table. The search is preferably carried out on the basis of an index computed starting from said first and second search entries.
摘要翻译： 诸如用于噪声降低的维纳滤波器的滤波器（例如语音信号）受背景噪声的影响包括用于确定估计噪声功率的新值与估计噪声功率的先前值相关联的更新功能的值的电路， 所述更新功能是所述先前估计的噪声功率和平均输入功率谱密度的函数。 该电路包括一个查找表，其具有存储在其中的具有估计噪声功率的先前值和作为第一和第二搜索条目的平均输入功率谱密度的更新功能的值。 这些搜索条目通过输入模块输入，并由与查找表相关联的搜索电路利用，用于选择性地搜索查找表中的更新功能的值。 搜索优选地基于从所述第一和第二搜索条目开始计算的索引来执行。
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公开(公告)号：US20110211045A1
公开(公告)日：2011-09-01
申请号：US13128199
申请日：2008-11-07
IPC分类号： H04N13/02
CPC分类号： H04N13/239 , G06T7/593 , G06T15/20 , H04N13/122 , H04N13/128 , H04N13/243 , H04N13/246 , H04N13/275 , H04N2213/003
摘要： A method for producing 3D multi-view visual contents including capturing a visual scene from at least one first point of view for generating a first bidimensional image of the scene and a corresponding first depth map indicative of a distance of different parts of the scene from the first point of view. The method further includes capturing the visual scene from at least one second point of view for generating a second bidimensional image; processing the first bidimensional image to derive at least one predicted second bidimensional image predicting the visual scene captured from the at least one second point of view; deriving at least one predicted second depth map predictive of a distance of different parts of the scene from the at least one second point of view by processing the first depth map, the at least one predicted second bidimensional image and the second bidimensional image.
摘要翻译： 一种用于产生3D多视角视觉内容的方法，包括从至少一个第一观点捕获视觉场景，用于生成场景的第一二维图像，以及相应的第一深度图，其指示场景的不同部分与 第一点。 该方法还包括从至少一个第二观点捕获视觉场景，以产生第二二维图像; 处理所述第一二维图像以导出至少一个预测的从所述至少一个第二观察点捕获的所述视觉场景的预测的第二二维图像; 通过处理所述第一深度图，所述至少一个预测的第二二维图像和所述第二二维图像，得出预测所述场景的不同部分的距离与所述至少一个第二观察点的至少一个预测的第二深度图。
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公开(公告)号：US09225965B2
公开(公告)日：2015-12-29
申请号：US13128199
申请日：2008-11-07
CPC分类号： H04N13/239 , G06T7/593 , G06T15/20 , H04N13/122 , H04N13/128 , H04N13/243 , H04N13/246 , H04N13/275 , H04N2213/003
摘要： A method for producing 3D multi-view visual contents including capturing a visual scene from at least one first point of view for generating a first bidimensional image of the scene and a corresponding first depth map indicative of a distance of different parts of the scene from the first point of view. The method further includes capturing the visual scene from at least one second point of view for generating a second bidimensional image; processing the first bidimensional image to derive at least one predicted second bidimensional image predicting the visual scene captured from the at least one second point of view; deriving at least one predicted second depth map predictive of a distance of different parts of the scene from the at least one second point of view by processing the first depth map, the at least one predicted second bidimensional image and the second bidimensional image.
摘要翻译： 一种用于产生3D多视角视觉内容的方法，包括从至少一个第一观点捕获视觉场景，用于生成场景的第一二维图像，以及相应的第一深度图，其指示场景的不同部分与 第一点。 该方法还包括从至少一个第二观点捕获视觉场景，以产生第二二维图像; 处理所述第一二维图像以导出至少一个预测的从所述至少一个第二观察点捕获的所述视觉场景的预测的第二二维图像; 通过处理所述第一深度图，所述至少一个预测的第二二维图像和所述第二二维图像，得出预测所述场景的不同部分的距离与所述至少一个第二观察点的至少一个预测的第二深度图。
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5.发明申请Method for generating a vector codebook, method and device for compressing data, and distributed speech recognition system 有权用于生成矢量码本的方法，用于压缩数据的方法和装置以及分布式语音识别系统公开(公告)号：US20090037172A1
公开(公告)日：2009-02-05
申请号：US11658090
申请日：2004-07-23
CPC分类号： G10L15/30
摘要： A method for compressing data, the data being represented by an input vector having Q features, wherein Q is an integer higher than 1, including the steps of 1) providing a vector codebook of sub-sets of indexed Q-feature reference vectors and threshold values associated with the sub-sets for a prefixed feature; 2) identifying a sub-set of reference vectors among the sub-sets by progressively comparing the value of a feature of the input vector which corresponds to the prefixed feature, with the threshold values associated with the sub-sets; and 3) identifying the reference vector which, within the sub-set identified in step 2), provides the lowest distortion with respect to the input vector.
摘要翻译： 一种用于压缩数据的方法，所述数据由具有Q特征的输入向量表示，其中Q是高于1的整数，包括以下步骤：1）提供索引Q特征参考向量和阈值的子集的向量码本 与前缀特征的子集相关联的值; 2）通过将与前缀特征相对应的输入向量的特征值与与子集相关联的阈值逐渐比较来识别子集中的参考矢量子集; 以及3）识别在步骤2）中识别的子集内的相对于输入向量提供最低失真的参考矢量。
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公开(公告)号：US20100030714A1
公开(公告)日：2010-02-04
申请号：US12449298
申请日：2007-01-31
CPC分类号： G10L17/26
摘要： An automated emotional recognition system includes an emotional state classifier adapted to receive, during an operative phase, an input information stream with embedded information related to emotional states of a person, and to generate a succession of emotional state indications derived from the input information stream. The emotional recognition system further includes a post-processing function, configured to receive at least two emotional state indications of the succession and, for each of said at least two emotional state indications, determine a corresponding emotional state representation in an emotional state representation system. The post-processing function is further configured to combine the emotional state representations of the at least two emotional state indications to obtain an output emotional state indication.
摘要翻译： 自动情绪识别系统包括情绪状态分类器，其适于在手术阶段期间接收具有与人的情绪状态相关的嵌入信息的输入信息流，并且生成从输入信息流导出的一系列情绪状态指示。 所述情绪识别系统还包括后处理功能，其被配置为接收所述继承的至少两个情绪状态指示，并且对于所述至少两个情绪状态指示中的每个，确定情绪状态表示系统中相应的情绪状态表示。 后处理功能还被配置为组合至少两个情绪状态指示的情绪状态表示以获得输出情绪状态指示。
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7.发明授权Module for generating circuits for decoding convolutional codes, related method and circuit 有权用于生成用于解码卷积码的电路的模块，相关方法和电路公开(公告)号：US07401284B2
公开(公告)日：2008-07-15
申请号：US10399756
申请日：2001-10-11
申请人： Gianmario Bollano , Donato Ettorre , Maura Turolla
发明人： Gianmario Bollano , Donato Ettorre , Maura Turolla
CPC分类号： H03M13/6516 , G06F17/5045 , H03M13/2957
摘要： The present invention relates to a module 50 for generating integrated decoding circuits for use, in particular, in turbo devices, to the method for defining the characteristics of and generating convolutional decoding circuits, and to the circuit that can be obtained with said module 50. The module 50 is parametric and, thanks to this feature, makes it possible to generate decoding circuits having different performance characteristics which are such that they can be used in turbo devices employing different decoding modes and different architectures. In addition, the module 50 makes it possible to generate decoding circuits whose distinguishing feature is that they can manage a plurality of generator polynomials selectively and can thus also be used in asymmetrical turbo devices.
摘要翻译： 本发明涉及一种用于产生用于特别是在turbo设备中的集成解码电路的模块，用于定义卷积解码电路的特性和产生卷积解码电路的方法以及可以用所述模块50获得的电路。 模块50是参数的，并且由于该特征，使得可以生成具有不同性能特征的解码电路，使得它们可以在采用不同解码模式和不同架构的turbo设备中使用。 此外，模块50使得可以生成解码电路，其识别特征是它们可以选择性地管理多个生成多项式，并且因此也可以用于非对称涡轮装置。
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公开(公告)号：US20100088088A1
公开(公告)日：2010-04-08
申请号：US12449259
申请日：2007-01-31
CPC分类号： G10L15/065 , G10L15/30 , G10L17/26
摘要： An automated emotional recognition system is adapted to determine emotional states of a speaker based on the analysis of a speech signal. The emotional recognition system includes at least one server function and at least one client function in communication with the at least one server function for receiving assistance in determining the emotional states of the speaker. The at least one client function includes an emotional features calculator adapted to receive the speech signal and to extract therefrom a set of speech features indicative of the emotional state of the speaker. The emotional state recognition system further includes at least one emotional state decider adapted to determine the emotional state of the speaker exploiting the set of speech features based on a decision model. The server function includes at least a decision model trainer adapted to update the selected decision model according to the speech signal. The decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable based on a context of use of the recognition system.
摘要翻译： 自动情绪识别系统适于基于语音信号的分析来确定说话人的情绪状态。 所述情绪识别系统包括与所述至少一个服务器功能通信的至少一个服务器功能和至少一个客户端功能，用于在确定所述说话者的情绪状态时接收帮助。 所述至少一个客户端功能包括适于接收所述语音信号并从其中提取指示所述说话者的情绪状态的一组语音特征的情绪特征计算器。 情绪状态识别系统还包括至少一个情绪状态判定器，其适于基于决策模型来确定利用该组语音特征的说话者的情绪状态。 服务器功能至少包括决定模型训练器，其适于根据语音信号来更新所选择的决定模型。 情绪状态决定者用于确定说话者的情感状态的决定模型是基于使用识别系统的上下文来选择的。
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公开(公告)号：US08538755B2
公开(公告)日：2013-09-17
申请号：US12449259
申请日：2007-01-31
CPC分类号： G10L15/065 , G10L15/30 , G10L17/26
摘要： An automated emotional recognition system is adapted to determine emotional states of a speaker based on the analysis of a speech signal. The emotional recognition system includes at least one server function and at least one client function in communication with the at least one server function for receiving assistance in determining the emotional states of the speaker. The at least one client function includes an emotional features calculator adapted to receive the speech signal and to extract therefrom a set of speech features indicative of the emotional state of the speaker. The emotional state recognition system further includes at least one emotional state decider adapted to determine the emotional state of the speaker exploiting the set of speech features based on a decision model. The server function includes at least a decision model trainer adapted to update the selected decision model according to the speech signal. The decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable based on a context of use of the recognition system.
摘要翻译： 自动情绪识别系统适于基于语音信号的分析来确定说话人的情绪状态。 所述情绪识别系统包括与所述至少一个服务器功能通信的至少一个服务器功能和至少一个客户端功能，用于在确定所述说话者的情绪状态时接收帮助。 所述至少一个客户端功能包括适于接收所述语音信号并从其中提取指示所述说话者的情绪状态的一组语音特征的情绪特征计算器。 情绪状态识别系统还包括至少一个情绪状态判定器，其适于基于决策模型来确定利用该组语音特征的说话者的情绪状态。 服务器功能至少包括决定模型训练器，其适于根据语音信号来更新所选择的决定模型。 情绪状态决定者用于确定说话者的情感状态的决定模型是基于使用识别系统的上下文来选择的。
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10.发明授权Method for generating a vector codebook, method and device for compressing data, and distributed speech recognition system 有权用于生成矢量码本的方法，用于压缩数据的方法和装置以及分布式语音识别系统公开(公告)号：US08214204B2
公开(公告)日：2012-07-03
申请号：US11658090
申请日：2004-07-23
CPC分类号： G10L15/30
摘要： A method for compressing data, the data being represented by an input vector having Q features, wherein Q is an integer higher than 1, including the steps of 1) providing a vector codebook of sub-sets of indexed Q-feature reference vectors and threshold values associated with the sub-sets for a prefixed feature; 2) identifying a sub-set of reference vectors among the sub-sets by progressively comparing the value of a feature of the input vector which corresponds to the prefixed feature, with the threshold values associated with the sub-sets; and 3) identifying the reference vector which, within the sub-set identified in step 2), provides the lowest distortion with respect to the input vector.
摘要翻译： 一种用于压缩数据的方法，所述数据由具有Q特征的输入向量表示，其中Q是高于1的整数，包括以下步骤：1）提供索引Q特征参考向量和阈值的子集的向量码本 与前缀特征的子集相关联的值; 2）通过将与前缀特征相对应的输入向量的特征值与与子集相关联的阈值逐渐比较来识别子集中的参考矢量子集; 以及3）识别在步骤2）中识别的子集内的相对于输入向量提供最低失真的参考矢量。
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