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    • 64. 发明授权
    • Method, apparatus, mobile terminal and computer program product for providing data clustering and mode selection
    • 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
    • US07725411B2
    • 2010-05-25
    • US11396831
    • 2006-04-03
    • Jilei TianJani K. NurminenVictor Popa
    • Jilei TianJani K. NurminenVictor Popa
    • G06E1/00G06E3/00G06G7/00
    • G06K9/628G06N99/005G10L21/007
    • 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.
    • 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。
    • 66. 发明申请
    • Hybrid Approach in Voice Conversion
    • 语音转换中的混合方法
    • US20090171657A1
    • 2009-07-02
    • US11966255
    • 2007-12-28
    • Jilei TianVictor PopaJani Kristian Nurminen
    • Jilei TianVictor PopaJani Kristian Nurminen
    • G10L19/04
    • G10L21/00G10L2021/0135
    • A hybrid approach is described for combining frequency warping and Gaussian Mixture Modeling (GMM) to achieve better speaker identity and speech quality. To train the voice conversion GMM model, line spectral frequency and other features are extracted from a set of source sounds to generate a source feature vector and from a set of target sounds to generate a target feature vector. The GMM model is estimated based on the aligned source feature vector and the target feature vector. A mixture specific warping function is generated each set of mixture mean pairs of the GMM model, and a warping function is generated based on a weighting of each of the mixture specific warping functions. The warping function can be used to convert sounds received from a source speaker to approximate speech of a target speaker.
    • 描述了混合方法,用于组合频率扭曲和高斯混合建模(GMM),以实现更好的扬声器身份和语音质量。 为了训练语音转换GMM模型,从一组源声音中提取线谱频率和其他特征以产生源特征向量和从一组目标声音生成目标特征向量。 基于对齐的源特征向量和目标特征向量来估计GMM模型。 每个GMM模型的混合均值对都产生混合特定的翘曲函数,并且基于每个混合特定翘曲函数的加权产生翘曲函数。 翘曲功能可用于将从源扬声器接收的声音转换为目标扬声器的近似语音。
    • 68. 发明申请
    • Method, apparatus and computer program product for providing voice conversion using temporal dynamic features
    • 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
    • US20080262838A1
    • 2008-10-23
    • US11788263
    • 2007-04-17
    • Jani K. NurminenVictor PopaJilei Tian
    • Jani K. NurminenVictor PopaJilei Tian
    • G10L21/00
    • G10L13/033
    • 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.
    • 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。