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1. 发明授权

US07848924B2 Method, apparatus and computer program product for providing voice conversion using temporal dynamic features 有权
标题翻译：用于使用时间动态特征提供语音转换的方法，装置和计算机程序产品
公开(公告)号：US07848924B2
公开(公告)日：2010-12-07
申请号：US11788263
申请日：2007-04-17
申请人： Jani K. Nurminen , Victor Popa , Jilei Tian
发明人： Jani K. Nurminen , Victor Popa , Jilei Tian
IPC分类号： G10L21/00
CPC分类号： G10L13/033
摘要： An apparatus for providing voice conversion using temporal dynamic features includes a feature extractor and a transformation element. The feature extractor may be configured to extract dynamic feature vectors from source speech. The transformation element may be in communication with the feature extractor and configured to apply a first conversion function to a signal including the extracted dynamic feature vectors to produce converted dynamic feature vectors. The first conversion function may have been trained using at least dynamic feature data associated with training source speech and training target speech. The transformation element may be further configured to produce converted speech based on an output of applying the first conversion function.
摘要翻译：用于使用时间动态特征提供语音转换的装置包括特征提取器和变换元件。特征提取器可以被配置为从源语音提取动态特征向量。变换元件可以与特征提取器通信并且被配置为将第一转换函数应用于包括所提取的动态特征向量的信号以产生转换的动态特征向量。可以使用至少与训练源语音和训练目标语音相关联的动态特征数据来训练第一转换功能。转换元件还可以被配置为基于应用第一转换函数的输出来产生转换的语音。

2. 发明授权

US08751239B2 Method, apparatus and computer program product for providing text independent voice conversion 有权
标题翻译：用于提供文本独立语音转换的方法，装置和计算机程序产品
公开(公告)号：US08751239B2
公开(公告)日：2014-06-10
申请号：US11867196
申请日：2007-10-04
申请人： Jilei Tian , Victor Popa , Jani K. Nurminen
发明人： Jilei Tian , Victor Popa , Jani K. Nurminen
IPC分类号： G10L13/00
CPC分类号： G10L15/063 , G10L15/26 , G10L21/00 , G10L2021/0135
摘要： An apparatus for providing text independent voice conversion may include a first voice conversion model and a second voice conversion model. The first voice conversion model may be trained with respect to conversion of training source speech to synthetic speech corresponding to the training source speech. The second voice conversion model may be trained with respect to conversion to training target speech from synthetic speech corresponding to the training target speech. An output of the first voice conversion model may be communicated to the second voice conversion model to process source speech input into the first voice conversion model into target speech corresponding to the source speech as the output of the second voice conversion model.
摘要翻译：用于提供文本独立语音转换的装置可以包括第一语音转换模型和第二语音转换模型。关于将训练源语音转换成对应于训练源语音的合成语音，可以对第一语音转换模型进行训练。关于从对应于训练目标语音的合成语音到训练目标语音的转换，可以对第二语音转换模型进行训练。第一语音转换模型的输出可以被传送到第二语音转换模型，以将输入到第一语音转换模型的源语音转换为与源语音相对应的目标语音作为第二语音转换模型的输出。

3. 发明授权

US07725411B2 Method, apparatus, mobile terminal and computer program product for providing data clustering and mode selection 失效
标题翻译：用于提供数据聚类和模式选择的方法，装置，移动终端和计算机程序产品
公开(公告)号：US07725411B2
公开(公告)日：2010-05-25
申请号：US11396831
申请日：2006-04-03
申请人： Jilei Tian , Jani K. Nurminen , Victor Popa
发明人： Jilei Tian , Jani K. Nurminen , Victor Popa
IPC分类号： G06E1/00 , G06E3/00 , G06G7/00
CPC分类号： G06K9/628 , G06N99/005 , G10L21/007
摘要： An apparatus for providing data clustering and mode selection includes a training element and a transformation element. The training element is configured to receive a first training data set, a second training data set and auxiliary data extracted from the same material as the first training data set. The training element is also configured to train a classifier to group the first training data set into M clusters based on the auxiliary data and the first training data set and train M processing schemes corresponding to the M clusters for transforming the first training data set into the second training data set. The transformation element is in communication with the training element and is configured to cluster the second training data set into M clusters based on features associated with the second training data set.
摘要翻译：一种用于提供数据聚类和模式选择的装置包括训练元素和变换元素。训练元件被配置为接收从与第一训练数据集相同的材料提取的第一训练数据集，第二训练数据集和辅助数据。训练元素还被配置为训练分类器，以基于辅助数据和第一训练数据集以及对应于M个簇的训练M个处理方案将第一训练数据集合分组成M个群集，以将第一训练数据集变换为第二训练数据集。转换元件与训练元素通信，并且被配置为基于与第二训练数据集相关联的特征将第二训练数据集聚集成M个群集。

4. 发明授权

US07480641B2 Method, apparatus, mobile terminal and computer program product for providing efficient evaluation of feature transformation 有权
标题翻译：方法，装置，移动终端和计算机程序产品，用于提供特征转换的有效评估
公开(公告)号：US07480641B2
公开(公告)日：2009-01-20
申请号：US11400629
申请日：2006-04-07
申请人： Jilei Tian , Jani K. Nurminen , Victor Popa
发明人： Jilei Tian , Jani K. Nurminen , Victor Popa
IPC分类号： G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00 , G06N3/02
CPC分类号： G10L21/00 , G10L13/033 , G10L2021/0135
摘要： An apparatus for providing efficient evaluation of feature transformation includes a training module and a transformation module. The training module is configured to train a Gaussian mixture model (GMM) using training source data and training target data. The transformation module is in communication with the training module. The transformation module is configured to produce a conversion function in response to the training of the GMM. The training module is further configured to determine a quality of the conversion function prior to use of the conversion function by calculating a trace measurement of the GMM.
摘要翻译：用于提供特征变换的有效评估的装置包括训练模块和变换模块。训练模块被配置为使用训练源数据和训练目标数据训练高斯混合模型（GMM）。变换模块与训练模块通信。转换模块被配置为响应于GMM的训练而产生转换功能。训练模块还被配置为通过计算GMM的跟踪测量来确定在使用转换功能之前的转换功能的质量。

5. 发明申请

US20080262838A1 Method, apparatus and computer program product for providing voice conversion using temporal dynamic features 有权
标题翻译：用于使用时间动态特征提供语音转换的方法，装置和计算机程序产品
公开(公告)号：US20080262838A1
公开(公告)日：2008-10-23
申请号：US11788263
申请日：2007-04-17
申请人： Jani K. Nurminen , Victor Popa , Jilei Tian
发明人： Jani K. Nurminen , Victor Popa , Jilei Tian
IPC分类号： G10L21/00
CPC分类号： G10L13/033
摘要： An apparatus for providing voice conversion using temporal dynamic features includes a feature extractor and a transformation element. The feature extractor may be configured to extract dynamic feature vectors from source speech. The transformation element may be in communication with the feature extractor and configured to apply a first conversion function to a signal including the extracted dynamic feature vectors to produce converted dynamic feature vectors. The first conversion function may have been trained using at least dynamic feature data associated with training source speech and training target speech. The transformation element may be further configured to produce converted speech based on an output of applying the first conversion function.
摘要翻译：用于使用时间动态特征提供语音转换的装置包括特征提取器和变换元件。特征提取器可以被配置为从源语音提取动态特征向量。变换元件可以与特征提取器通信并且被配置为将第一转换函数应用于包括所提取的动态特征向量的信号以产生转换的动态特征向量。可以使用至少与训练源语音和训练目标语音相关联的动态特征数据来训练第一转换功能。转换元件还可以被配置为基于应用第一转换函数的输出来产生转换的语音。

6. 发明申请

US20080255827A1 Voice Conversion Training and Data Collection 有权
标题翻译：语音转换培训和数据收集
公开(公告)号：US20080255827A1
公开(公告)日：2008-10-16
申请号：US11733329
申请日：2007-04-10
申请人： Jani K. Nurminen , Victor Popa , Elina Helander , Jilei Tian
发明人： Jani K. Nurminen , Victor Popa , Elina Helander , Jilei Tian
IPC分类号： G10L19/00
CPC分类号： G10L21/028 , G10L15/04 , G10L25/78 , G10L2021/0135
摘要： It may be desirable to provide a way to collect high quality speech training data without undue burden to the user. Speech training data may be collected during normal usage of a device. In this way, the collection of speech training data may be effectively transparent to the user, without the need for a distinct collection mode from the user's point of view. For example, where the device is or includes a phone (such as a cellular phone), when the user makes or receives a phone call to/from another party, speech training data may be automatically collected from one or both of the parties during the phone call.
摘要翻译：可能需要提供一种收集高质量语音训练数据的方式，而不会对用户造成不必要的负担。在设备的正常使用期间可以收集语音训练数据。以这种方式，语音训练数据的收集对于用户来说可能是有效的透明的，而不需要用户的观点的不同的收集模式。例如，当设备是或包括电话（例如蜂窝电话）时，当用户向/从另一方进行或接收电话呼叫时，可以在一方或两方当中自动收集语音训练数据电话。

7. 发明申请

US20090094031A1 Method, Apparatus and Computer Program Product for Providing Text Independent Voice Conversion 有权
标题翻译：用于提供文本独立语音转换的方法，设备和计算机程序产品
公开(公告)号：US20090094031A1
公开(公告)日：2009-04-09
申请号：US11867196
申请日：2007-10-04
申请人： Jilei Tian , Victor Popa , Jani K. Nurminen
发明人： Jilei Tian , Victor Popa , Jani K. Nurminen
IPC分类号： G10L15/04
CPC分类号： G10L15/063 , G10L15/26 , G10L21/00 , G10L2021/0135
摘要： An apparatus for providing text independent voice conversion may include a first voice conversion model and a second voice conversion model. The first voice conversion model may be trained with respect to conversion of training source speech to synthetic speech corresponding to the training source speech. The second voice conversion model may be trained with respect to conversion to training target speech from synthetic speech corresponding to the training target speech. An output of the first voice conversion model may be communicated to the second voice conversion model to process source speech input into the first voice conversion model into target speech corresponding to the source speech as the output of the second voice conversion model.
摘要翻译：用于提供文本独立语音转换的装置可以包括第一语音转换模型和第二语音转换模型。关于将训练源语音转换成对应于训练源语音的合成语音，可以对第一语音转换模型进行训练。关于从对应于训练目标语音的合成语音到训练目标语音的转换，可以对第二语音转换模型进行训练。第一语音转换模型的输出可以被传送到第二语音转换模型，以将输入到第一语音转换模型的源语音转换为与源语音相对应的目标语音作为第二语音转换模型的输出。

8. 发明申请

US20080082320A1 APPARATUS, METHOD AND COMPUTER PROGRAM PRODUCT FOR ADVANCED VOICE CONVERSION 审中-公开
标题翻译：用于高级语音转换的装置，方法和计算机程序产品
公开(公告)号：US20080082320A1
公开(公告)日：2008-04-03
申请号：US11537428
申请日：2006-09-29
申请人： Victor Popa , Jani K. Nurminen , Jilei Tian
发明人： Victor Popa , Jani K. Nurminen , Jilei Tian
IPC分类号： G10L19/00
CPC分类号： G10L13/033 , G10L2021/0135
摘要： An apparatus is provided that includes a converter for training a voice conversion model for converting source encoding parameters characterizing a source speech signal associated with a source voice into corresponding target encoding parameters characterizing a target speech signal associated with a target voice. To reduce the affect of noise on the voice conversion model, the converter may be configured for receiving sequences of source and target encoding parameters, and train the model without one or more frames of the source and target speech signals that have energies less than a threshold energy. After conversion of the respective parameters, then, the converter, a decoder or another component may be configured for reducing the energy of one or more frames of the target speech signal that have an energy less than the threshold energy, where the threshold value may be adaptable based upon models of speech frames and non-speech frames.
摘要翻译：提供一种装置，其包括用于训练用于将表征与源语音相关联的源语音信号的源编码参数转换成表征与目标语音相关联的目标语音信号的相应目标编码参数的语音转换模型的转换器。为了减少噪声对语音转换模型的影响，转换器可以被配置为用于接收源和目标编码参数的序列，并训练没有源和目标语音信号的能量小于阈值的一个或多个帧的模型能源。在转换各个参数之后，转换器，解码器或另一个组件可以被配置为用于减少具有小于阈值能量的能量的目标语音信号的一个或多个帧的能量，其中阈值可以是基于语音帧和非语音帧的模型来适应。

9. 发明申请

US20070256189A1 SOFT ALIGNMENT IN GAUSSIAN MIXTURE MODEL BASED TRANSFORMATION 有权
标题翻译：高斯混合模型基于变换的软对齐
公开(公告)号：US20070256189A1
公开(公告)日：2007-11-01
申请号：US11380289
申请日：2006-04-26
申请人： Jilei Tian , Jani Nurminen , Victor Popa
发明人： Jilei Tian , Jani Nurminen , Victor Popa
IPC分类号： C12N15/82 , C12N15/87
CPC分类号： G10L13/033 , G10L2021/0135
摘要： Systems and methods are provided for performing soft alignment in Gaussian mixture model (GMM) based and other vector transformations. Soft alignment may assign alignment probabilities to source and target feature vector pairs. The vector pairs and associated probabilities may then be used calculate a conversion function, for example, by computing GMM training parameters from the joint vectors and alignment probabilities to create a voice conversion function for converting speech sounds from a source speaker to a target speaker.
摘要翻译：提供了系统和方法，用于在基于高斯混合模型（GMM）和其他矢量变换中执行软对齐。软对齐可以将对齐概率分配给源和目标特征向量对。然后可以使用矢量对和相关联的概率来计算转换函数，例如通过从联合向量计算GMM训练参数和对齐概率来创建用于将语音从源扬声器转换为目标扬声器的语音转换功能。

10. 发明申请

US20070233625A1 Method, apparatus, mobile terminal and computer program product for providing data clustering and mode selection 失效
标题翻译：用于提供数据聚类和模式选择的方法，装置，移动终端和计算机程序产品
公开(公告)号：US20070233625A1
公开(公告)日：2007-10-04
申请号：US11396831
申请日：2006-04-03
申请人： Jilei Tian , Jani Nurminen , Victor Popa
发明人： Jilei Tian , Jani Nurminen , Victor Popa
IPC分类号： G06F15/18
CPC分类号： G06K9/628 , G06N99/005 , G10L21/007
摘要： An apparatus for providing data clustering and mode selection includes a training element and a transformation element. The training element is configured to receive a first training data set, a second training data set and auxiliary data extracted from the same material as the first training data set. The training element is also configured to train a classifier to group the first training data set into M clusters based on the auxiliary data and the first training data set and train M processing schemes corresponding to the M clusters for transforming the first training data set into the second training data set. The transformation element is in communication with the training element and is configured to cluster the second training data set into M clusters based on features associated with the second training data set.
摘要翻译：一种用于提供数据聚类和模式选择的装置包括训练元素和变换元素。训练元件被配置为接收从与第一训练数据集相同的材料提取的第一训练数据集，第二训练数据集和辅助数据。训练元素还被配置为训练分类器，以基于辅助数据和第一训练数据集以及对应于M个簇的训练M个处理方案将第一训练数据集合分组成M个群集，以将第一训练数据集变换为第二训练数据集。转换元件与训练元素通信，并且被配置为基于与第二训练数据集相关联的特征将第二训练数据集聚集成M个群集。

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