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1. 发明授权

US08363950B2 Combining online and offline recognizers in a handwriting recognition system 有权
公开(公告)号：US08363950B2
公开(公告)日：2013-01-29
申请号：US13426427
申请日：2012-03-21
申请人： Xinjian Chen , Dongmei Zhang , Yu Zou , Ming Chang , Shi Han , Jian Wang
发明人： Xinjian Chen , Dongmei Zhang , Yu Zou , Ming Chang , Shi Han , Jian Wang
IPC分类号： G06K9/00 , G06F17/00
CPC分类号： G06K9/00973 , G06K9/6292 , G06K9/6296
摘要： Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.

2. 发明授权

US07887290B2 Blower 有权
标题翻译：鼓风机
公开(公告)号：US07887290B2
公开(公告)日：2011-02-15
申请号：US12003833
申请日：2008-01-02
申请人： Shi-Han Chen , Tsu-Liang Lin
发明人： Shi-Han Chen , Tsu-Liang Lin
IPC分类号： F04D29/40
CPC分类号： F04D29/282 , F04D29/4213 , F04D29/424 , F04D29/663
摘要： A blower includes a housing and an impeller. The housing has a main inlet and at least one secondary inlet. The impeller is disposed in the housing and has a hub, a plurality of blades and at least one annular plate. Those blades are disposed around the hub. The annular plate is connected to those blades and partially blocked the secondary inlet.
摘要翻译：鼓风机包括壳体和叶轮。壳体具有主入口和至少一个次级入口。叶轮设置在壳体中并且具有毂，多个叶片和至少一个环形板。这些刀片设置在轮毂周围。环形板连接到那些叶片并部分地阻挡了次级入口。

3. 发明申请

US20080205761A1 Radical Set Determination For HMM Based East Asian Character Recognition 失效
标题翻译：基于HMM的东亚字符识别的激进集确定
公开(公告)号：US20080205761A1
公开(公告)日：2008-08-28
申请号：US11680566
申请日：2007-02-28
申请人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
发明人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/18
CPC分类号： G06K9/6807 , G06K9/468 , G06K2209/01 , G06K2209/011
摘要： Exemplary techniques are described for selecting radical sets for use in probabilistic East Asian character recognition algorithms. An exemplary technique includes applying a decomposition rule to each East Asian character of the set to generate a progressive splitting graph where the progressive splitting graph comprises radicals as nodes, formulating an optimization problem to find an optimal set of radicals to represent the set of East Asian characters using maximum likelihood and minimum description length and solving the optimization problem for the optimal set of radicals. Another exemplary technique includes selecting an optimal set of radicals by using a general function that characterizes a radical with respect to other East Asian characters and a complex function that characterizes complexity of a radical.
摘要翻译：描述了用于选择在概率东亚字符识别算法中使用的激进集合的示例性技术。一个示例性的技术包括将分解规则应用于集合的每个东亚字符以生成逐行分割图，其中渐进分割图包括基数作为节点，制定优化问题以找到最佳的一组基团以表示东亚集字符使用最大似然和最小描述长度，并解决优化问题的最佳组的自由基。另一个示例性技术包括通过使用表征相对于其他东亚字符的基数的一般函数和表征激进的复杂度的复杂函数来选择最佳的自由基集合。

4. 发明申请

US20070233469A1 METHOD FOR SPEECH QUALITY DEGRADATION ESTIMATION AND METHOD FOR DEGRADATION MEASURES CALCULATION AND APPARATUSES THEREOF 有权
标题翻译：演讲质量降低估算方法及其降解措施计算方法及其设备
公开(公告)号：US20070233469A1
公开(公告)日：2007-10-04
申请号：US11427777
申请日：2006-06-29
申请人： Shi-Han Chen , Chih-Chung Kuo , Shun-Ju Chen
发明人： Shi-Han Chen , Chih-Chung Kuo , Shun-Ju Chen
IPC分类号： G10L11/04
CPC分类号： G10L25/69
摘要： A method for speech quality degradation estimation, a method for degradation measures calculation, and the apparatuses thereof are provided. The first method above estimates the speech quality of a speech signal that is modified by a pitch-synchronous prosody modification method, which comprises the following steps. First, extract at least one source pitchmark from the speech signal, and then maps the source pitchmark(s) to at least one target pitchmark(s). Finally, calculate at least one degradation measure based on the mapping between the source and the target pitchmarks. The degradation measures include several weighted pitch-related functions and duration-related functions, where the weighting functions can be calculated based on the speech signal or the pitchmark(s) mapping mentioned above.
摘要翻译：提供了一种用于语音质量劣化估计的方法，一种降级测量计算方法及其装置。上述第一种方法估计由音调同步韵律修改方法修改的语音信号的语音质量，其包括以下步骤。首先，从语音信号中提取至少一个源间距标记，然后将源间距标记映射到至少一个目标间距标记。最后，基于源和目标音标之间的映射计算至少一个降级度量。降级措施包括几个加权音调相关功能和持续时间相关功能，其中可以基于上述的语音信号或音调标记映射来计算加权函数。

5. 发明授权

US08463043B2 Feature design for character recognition 有权
标题翻译：字符识别功能设计
公开(公告)号：US08463043B2
公开(公告)日：2013-06-11
申请号：US13526236
申请日：2012-06-18
申请人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
发明人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00416 , G06K2209/011
摘要： An exemplary method for online character recognition of characters includes acquiring time sequential, online ink data for a handwritten character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary character recognition system may use various exemplary methods for training and character recognition.
摘要翻译：用于字符的在线字符识别的示例性方法包括获取用于手写字符的时间顺序在线墨水数据，调节墨水数据以产生经调节的墨水数据，其中经调节的墨水数据包括关于写入手写字符的序列的信息并从调节的油墨数据，其中特征包括切线特征，曲率特征，局部长度特征，连接点特征和假想笔划特征。这种方法可以确定墨水数据的邻域并提取每个邻域的特征。示例性字符识别系统可以使用用于训练和字符识别的各种示例性方法。

6. 发明授权

US08160362B2 Combining online and offline recognizers in a handwriting recognition system 有权
标题翻译：将在线和离线识别器结合在手写识别系统中
公开(公告)号：US08160362B2
公开(公告)日：2012-04-17
申请号：US13090242
申请日：2011-04-19
申请人： Xinjian Chen , Dongmei Zhang , Yu Zou , Ming Chang , Shi Han , Jian Wang
发明人： Xinjian Chen , Dongmei Zhang , Yu Zou , Ming Chang , Shi Han , Jian Wang
IPC分类号： G06K9/00 , G06F17/00
CPC分类号： G06K9/00973 , G06K9/6292 , G06K9/6296
摘要： Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.
摘要翻译：描述了通过在线识别手写输入数据与离线识别和处理相结合以获得组合识别结果的技术。通常，该组合提高了整体识别精度。在一个方面，单独执行在线和离线识别以获得用于候选者（假设）的在线和离线角色级识别分数。基于统计分析的组合算法，AdaBoost算法和/或基于神经网络的组合可以确定组合函数以组合分数以产生一个或多个结果的结果集。可以执行在线和离线激进级别识别。例如，HMM识别器可以生成用于构建激进图形的在线激进分数，然后使用离线激进识别分数进行重新分类。然后，搜索折叠图中的路径以提供组合识别结果，例如对应于具有最高分数的路径。

7. 发明申请

US20110229038A1 Feature Design for HMM Based Eastern Asian Character Recognition 有权
标题翻译：基于HMM的东亚字符识别功能设计
公开(公告)号：US20110229038A1
公开(公告)日：2011-09-22
申请号：US13118045
申请日：2011-05-27
申请人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
发明人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/18
CPC分类号： G06K9/00416 , G06K2209/011
摘要： An exemplary method for online character recognition of East Asian characters includes acquiring time sequential, online ink data for a handwritten East Asian character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten East Asian character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary Hidden Markov Model based character recognition system may use various exemplary methods for training and character recognition.
摘要翻译：用于东亚字符的在线字符识别的示例性方法包括获取用于手写东亚字符的时间顺序在线墨水数据，调节墨水数据以产生经调节的墨水数据，其中调节的墨水数据包括关于写入东方手写的顺序的信息亚洲字符和从调节的墨水数据中提取特征，其中特征包括切线特征，曲率特征，局部长度特征，连接点特征和假想笔划特征。这种方法可以确定墨水数据的邻域并提取每个邻域的特征。基于示例性的基于隐马尔可夫模型的角色识别系统可以使用用于训练和角色识别的各种示例性方法。

8. 发明授权

US07903877B2 Radical-based HMM modeling for handwritten East Asian characters 有权
标题翻译：用于手写东亚字符的基于激进的HMM建模
公开(公告)号：US07903877B2
公开(公告)日：2011-03-08
申请号：US11682722
申请日：2007-03-06
申请人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
发明人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/00 , G06K9/18
CPC分类号： G06K9/00879
摘要： Exemplary methods, systems, and computer-readable media for developing, training and/or using models for online handwriting recognition of characters are described. An exemplary method for building a trainable radical-based HMM for use in character recognition includes defining radical nodes, where a radical node represents a structural element of an character, and defining connection nodes, where a connection node represents a spatial relationship between two or more radicals. Such a method may include determining a number of paths in the radical-based HMM using subsequence direction histogram vector (SDHV) clustering and determining a number of states in the radical-based HMM using curvature scale space-based (CSS) corner detection.
摘要翻译：描述用于开发，训练和/或使用用于字符的在线手写识别的模型的示例性方法，系统和计算机可读介质。用于构建用于字符识别的可训练基于激进的基于HMM的示例性方法包括定义基本节点，其中基本节点表示字符的结构元素，并且定义连接节点，其中连接节点表示两个或更多个之间的空间关系激进分子这种方法可以包括使用子序列方向直方图向量（SDHV）聚类确定基于激进的HMM中的路径数量，并使用基于曲率空间的（CSS）角检测确定基于激进的HMM中的状态数。

9. 发明授权

US07780084B2 2-D barcode recognition 有权
标题翻译：二维码识别
公开(公告)号：US07780084B2
公开(公告)日：2010-08-24
申请号：US11772069
申请日：2007-06-29
申请人： Chunhui Zhang , Zhouchen Lin , Zhengyou Zhang , Shi Han
发明人： Chunhui Zhang , Zhouchen Lin , Zhengyou Zhang , Shi Han
IPC分类号： G06K7/10
CPC分类号： G06K7/1093 , G06T3/608 , G06T2207/20061
摘要： Systems and methods for 2-D barcode recognition are described. In one aspect, the systems and methods use a charge coupled camera capturing device to capture a digital image of a 3-D scene. The systems and methods evaluate the digital image to localize and segment a 2-D barcode from the digital image of the 3-D scene. The 2-D barcode is rectified to remove non-uniform lighting and correct any perspective distortion. The rectified 2-D barcode is divided into multiple uniform cells to generate a 2-D matrix array of symbols. A barcode processing application evaluates the 2-D matrix array of symbols to present data to the user.
摘要翻译：描述了用于二维条形码识别的系统和方法。在一个方面，所述系统和方法使用电荷耦合的摄像机捕捉设备来捕获3-D场景的数字图像。系统和方法评估数字图像，以从3-D场景的数字图像中定位和分割二维条形码。二维条形码整流，以消除不均匀的照明并纠正任何透视失真。经整流的二维条形码被分成多个均匀的单元格，以产生符号的二维矩阵阵列。条形码处理应用程序评估符号的二维矩阵数组以向用户呈现数据。

10. 发明申请

US20060235681A1 Adaptive pulse allocation mechanism for linear-prediction based analysis-by-synthesis coders 审中-公开
标题翻译：基于线性预测的自适应脉冲分配机制
公开(公告)号：US20060235681A1
公开(公告)日：2006-10-19
申请号：US11272773
申请日：2005-11-15
申请人： Kuo-Guan Wu , Shi-Han Chen , Shun-Ju Chen , Shih-Ming Huang
发明人： Kuo-Guan Wu , Shi-Han Chen , Shun-Ju Chen , Shih-Ming Huang
IPC分类号： G10L19/12
CPC分类号： G10L19/12
摘要： A scheme of allocating variable pulses for each frame is proposed to reduce the bit-rate of LP based AbS coders while maintaining the same speech quality. Since speech signal is not stationary, the required pulse count in a speech coder should be variable frame by frame. In this patent the optimal pulse count allocation is provided based on criterion of perceptual distortion analysis. The method comprises receiving source speech data and generating temporary encoded data according to the source speech data, and synthesized speech data according to the temporary encoded data, and adjusting the fixed codebook pulse allocation in temporary encoded data to a minimum required pulse count according to the perceptual disturbance values between the synthesized speech data and the source speech data, and outputting final encoded data accordingly.
摘要翻译：提出了为每个帧分配可变脉冲的方案，以在保持相同语音质量的同时降低基于LP的AbS编码器的比特率。由于语音信号不稳定，语音编码器中所需的脉冲计数应逐帧变化。在该专利中，基于感知失真分析的准则提供了最佳脉冲计数分配。该方法包括接收源语音数据并根据源语音数据产生临时编码数据，并根据临时编码数据合成语音数据，并根据临时编码数据将临时编码数据中的固定码本脉冲分配调整到最小所需脉冲数合成语音数据和源语音数据之间的感知干扰值，并相应地输出最终编码数据。

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