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81. 发明授权

US07574411B2 Low memory decision tree 失效
标题翻译：低内存决策树
公开(公告)号：US07574411B2
公开(公告)日：2009-08-11
申请号：US10835597
申请日：2004-04-29
申请人： Janne Suontausta , Jilei Tian
发明人： Janne Suontausta , Jilei Tian
IPC分类号： G06N3/04 , G06N3/08 , G10L15/28
CPC分类号： G10L15/187 , G06F17/30625 , G10L13/08
摘要： Management of a low memory treelike data structure is shown. The method according to the invention comprises steps for creating a decision tree including a parent node and at least one leaf node, and steps for searching data from said nodes. The nodes of the decision tree are stored sequentially in such a manner that nodes follow the parent node in storage order, wherein the nodes refining the context of the searchable data can be reached without a link from their parent node. The method can preferably be utilized in speech-recognition systems, in text-to-phoneme mapping.
摘要翻译：显示了低内存数据结构的管理。根据本发明的方法包括用于创建包括父节点和至少一个叶节点的决策树的步骤，以及用于从所述节点搜索数据的步骤。决策树的节点按照节点按照存储顺序跟随父节点的方式被顺序地存储，其中可以达到改善可搜索数据的上下文的节点，而不需要与其父节点的链接。在文本到音素映射中，该方法可以优选地用于语音识别系统中。

82. 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。

83. 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。

84. 发明授权

US07181388B2 Method for compressing dictionary data 失效
标题翻译：压缩字典数据的方法
公开(公告)号：US07181388B2
公开(公告)日：2007-02-20
申请号：US10292122
申请日：2002-11-11
申请人： Jilei Tian
发明人： Jilei Tian
IPC分类号： G06F17/21
CPC分类号： G10L15/12 , G10L2015/025 , H03M7/30
摘要： The invention relates to pre-processing of a pronunciation dictionary for compression in a data processing device, the pronunciation dictionary comprising at least one entry, the entry comprising a sequence of character units and a sequence of phoneme units. According to one aspect of the invention the sequence of character units and the sequence of phoneme units are aligned using a statistical algorithm. The aligned sequence of character units and aligned sequence of phoneme units are interleaved by inserting each phoneme unit at a predetermined location relative to the corresponding character unit.
摘要翻译：本发明涉及一种用于在数据处理设备中进行压缩的发音字典的预处理，该发音字典包括至少一个条目，该条目包括一系列字符单元和一系列音素单元。根据本发明的一个方面，使用统计算法来对齐字符单元的序列和音素单元的序列。通过将每个音素单元相对于相应的字符单元插入预定位置来交织字符单元的排列顺序和对准的音素单元的顺序。

85. 发明申请

US20060064177A1 System and method for measuring confusion among words in an adaptive speech recognition system 审中-公开
标题翻译：用于测量自适应语音识别系统中单词之间混淆的系统和方法
公开(公告)号：US20060064177A1
公开(公告)日：2006-03-23
申请号：US11148469
申请日：2005-06-09
申请人： Jilei Tian , Sunil Sivadas , Tommi Lahti
发明人： Jilei Tian , Sunil Sivadas , Tommi Lahti
IPC分类号： G05B15/00
CPC分类号： G10L15/197 , G10L15/183
摘要： A system and method are proposed for measuring confusability or similarity between given entry pairs, including text string pairs and acoustic model pairs, in systems such as speech recognition and synthesis systems. A string edit distance (Levenshiten distance) can be applied to measure distance between any pair of text strings. It also can be used to calculate a confusion measurement between acoustic model pairs of different words and a model-driven method can be used to calculate a HMM model confusion matrix. This model-based approach can be efficiently calculated with low memory and low computational resources. Thus it can improve the speech recognition performance and models trained from text corpus.
摘要翻译：提出了一种用于在诸如语音识别和合成系统的系统中测量给定输入对之间的混淆性或相似性的系统和方法，包括文本串对和声学模型对。可以应用字符串编辑距离（Levenshiten distance）来测量任何文本字符串之间的距离。它也可以用于计算不同词语的声学模型对之间的混淆测量，并且可以使用模型驱动的方法来计算HMM模型混淆矩阵。这种基于模型的方法可以用低内存和低计算资源有效地计算。因此，它可以提高从文本语料库训练的语音识别性能和模型。

86. 发明授权

US06691090B1 Speech recognition system including dimensionality reduction of baseband frequency signals 失效
标题翻译：语音识别系统，包括基带频率信号的降维
公开(公告)号：US06691090B1
公开(公告)日：2004-02-10
申请号：US09694491
申请日：2000-10-24
申请人： Kari Laurila , Jilei Tian
发明人： Kari Laurila , Jilei Tian
IPC分类号： G10L1502
CPC分类号： G10L15/02 , G10L15/30 , G10L25/27
摘要： A method for use in a speech recognition system in which a speech waveform to be modelled is represented by a set of feature extracted parameters in the time domain, the method comprising dividing individual ones of one or more of said feature extracted parameters to provide for each divided feature extracted parameter a plurality of frequency channels, and demodulating at least one of the plurality of frequency channels to provide at least one corresponding baseband frequency signal.
摘要翻译：一种在语音识别系统中使用的方法，其中要被建模的语音波形由时域中的一组特征提取的参数表示，所述方法包括将所述特征提取的参数中的一个或多个的各个特征提取参数分开以提供每个分割特征提取参数多个频道，并且解调所述多个频道中的至少一个以提供至少一个对应的基带频率信号。

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