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    • 27. 发明申请
    • PATTERN RECOGNITION DEVICE, PATTERN RECOGNITION METHOD AND COMPUTER PROGRAM PRODUCT
    • 图案识别装置,图案识别方法和计算机程序产品
    • US20100246966A1
    • 2010-09-30
    • US12561448
    • 2009-09-17
    • Hiroshi Fujimura
    • Hiroshi Fujimura
    • G06K9/46
    • G06K9/6298G10L15/065G10L15/20G10L21/02
    • A pattern recognition device includes a feature vector calculator; a model selecting unit; a correction vector calculator; a feature vector correcting unit; and a pattern recognition unit. The correction vector calculator calculates, for each of the selection models, a modified directional vector having N dimensional components (N≧1). A value of the n-th dimensional component (N≧n≧1) of the modified directional vector is obtained by subtracting a value of the n-th dimensional component of the variance vector multiplied by a predetermined coefficient from an absolute value of the n-th component of a different vector between the average vector and feature vectors to obtain a first value, and then multiplying the first value by a plus or minus sign identical to a sign of the n-th dimensional component of the difference vector, and further calculate a correction vector with respect to a vector obtained by superimposing the modified directional vectors.
    • 模式识别装置包括特征向量计算器; 模型选择单元; 校正矢量计算器; 特征矢量校正单元; 和模式识别单元。 校正矢量计算器针对每个选择模型计算具有N维分量(N≥1)的修改的方向矢量。 通过从n的绝对值中减去乘以预定系数的方差矢量的第n维分量的值,获得修改的方向矢量的第n维分量(N≥n≥1)的值 在平均矢量和特征向量之间的不同矢量的第二分量,以获得第一值,然后将第一值乘以与差矢量的第n维分量的符号相同的正负号,并且进一步 计算相对于通过叠加修改的方向矢量而获得的向量的校正矢量。
    • 28. 发明申请
    • SPEECH RECOGNITION APPARATUS AND METHOD AND PROGRAM THEREFOR
    • 语音识别装置及其方法和程序
    • US20080243506A1
    • 2008-10-02
    • US12028067
    • 2008-02-08
    • Masaru SakaiHiroshi FujimuraShinichi Tanaka
    • Masaru SakaiHiroshi FujimuraShinichi Tanaka
    • G10L15/00
    • G10L15/32G10L2015/085
    • A speech recognition apparatus includes a generating unit generating a speech-feature vector expressing a feature for each of frames obtained by dividing an input speech, a storage unit storing a first acoustic model obtained by modeling a feature of each word by using a state transition model, a storage unit configured to store at least one second acoustic model, a calculation unit calculating, for each state, a first probability of transition to an at-end-frame state to obtain first probabilities, and select a maximum probability of the first probabilities, a selection unit selecting a maximum-probability-transition path, a conversion unit converting the maximum-probability-transition path into a corresponding-transition-path corresponding to the second acoustic model, a calculation unit calculating a second probability of transition to the at-end-frame state on the corresponding-transition-path, and a finding unit finding to which word the input speech corresponds based on the maximum probability and the second probability.
    • 语音识别装置包括生成单元,生成表示通过划分输入语音获得的每个帧的特征的语音特征向量;存储单元,存储通过使用状态转换模型对每个单词的特征进行建模而获得的第一声学模型 ,存储单元,被配置为存储至少一个第二声学模型,计算单元针对每个状态计算向第一概率转换的第一概率以获得第一概率,并且选择第一概率的最大概率 选择最大概率转换路径的选择单元,将最大概率转换路径转换为对应于第二声学模型的对应转变路径的转换单元,计算向第二声源模式转换的第二概率的计算单元; 在对应的转变路径上的前帧状态,以及发现单元,基于该最大值,找到输入语音对应的字 um概率和第二概率。
    • 29. 发明申请
    • Display device
    • 显示设备
    • US20050253507A1
    • 2005-11-17
    • US11108738
    • 2005-04-19
    • Hiroshi FujimuraMasumitsu Ino
    • Hiroshi FujimuraMasumitsu Ino
    • H01L51/50G09F9/30H01L27/32H05B33/14H05B33/26
    • H01L27/3276H01L27/3211H01L27/3297H01L2251/5315
    • A display device able to maximize an area of a luminous region in a pixel and realize an image display in bright and high-definition, wherein luminous elements having a first electrode defining a luminous region; a transparent second electrode facing and arranged to the first electrode; a luminous layer arranged between the first electrode and the second electrode are arranged in a first and second direction in matrix, a plurality of first electrode interconnections extending in the first direction and connected to a plurality of the first electrodes arranged in the first direction is arranged in the display region, and a plurality of second electrode interconnections arranged in parallel to the first electrode to extend in the second direction and commonly connected to a plurality of the second electrodes arranged in the second direction is also arranged.
    • 一种显示装置,其能够最大化像素中的发光区域的面积并实现明亮和高清晰度的图像显示,其中发光元件具有限定发光区域的第一电极; 面向并布置到所述第一电极的透明第二电极; 布置在第一电极和第二电极之间的发光层以矩阵形式布置在第一和第二方向上,多个沿第一方向延伸并连接到沿第一方向布置的多个第一电极的第一电极互连被布置 并且还布置了与第一电极平行布置的多个第二电极互连,以沿第二方向延伸并且共同连接到沿第二方向布置的多个第二电极。
    • 30. 发明授权
    • Pattern recognition device, pattern recognition method and computer program product
    • 模式识别装置,模式识别方法和计算机程序产品
    • US09147133B2
    • 2015-09-29
    • US12561448
    • 2009-09-17
    • Hiroshi Fujimura
    • Hiroshi Fujimura
    • G10L21/02G06K9/62G10L15/065G10L15/20
    • G06K9/6298G10L15/065G10L15/20G10L21/02
    • A pattern recognition device includes a feature vector calculator; a model selecting unit; a correction vector calculator; a feature vector correcting unit; and a pattern recognition unit. The correction vector calculator calculates, for each of the selection models, a modified directional vector having N dimensional components (N≧1). A value of the n-th dimensional component (N≧n≧1) of the modified directional vector is obtained by subtracting a value of the n-th dimensional component of the variance vector multiplied by a predetermined coefficient from an absolute value of the n-th component of a different vector between the average vector and feature vectors to obtain a first value, and then multiplying the first value by a plus or minus sign identical to a sign of the n-th dimensional component of the difference vector, and further calculate a correction vector with respect to a vector obtained by superimposing the modified directional vectors.
    • 模式识别装置包括特征向量计算器; 模型选择单元; 校正矢量计算器; 特征矢量校正单元; 和模式识别单元。 校正矢量计算器针对每个选择模型计算具有N维分量(N≥1)的修改的方向矢量。 通过从n的绝对值中减去乘以预定系数的方差矢量的第n维分量的值,获得修改的方向矢量的第n维分量(N≥n≥1)的值 在平均矢量和特征向量之间的不同矢量的第二分量,以获得第一值,然后将第一值乘以与差矢量的第n维分量的符号相同的正负号,并且进一步 计算相对于通过叠加修改的方向矢量而获得的向量的校正矢量。