公开(公告)号：US07929767B2

公开(公告)日：2011-04-19

申请号：US11155785

申请日：2005-06-20

申请人： Mingqing Xu ,  Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Xiaohui Hou ,  Zhouchen Lin ,  Dongmei Zhang ,  Jian Wang

发明人： Mingqing Xu ,  Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Xiaohui Hou ,  Zhouchen Lin ,  Dongmei Zhang ,  Jian Wang

IPC分类号： G06K9/18

CPC分类号： G06K9/00422 ,  G06K9/222 ,  G06K9/72 ,  G06K2209/01

摘要： A mechanism for recognizing and inputting handwritten mathematical expressions into a computer by providing part of a multi-path framework is described. The part of the multi-path framework includes a subordinate sub-expression analysis component. A method for analyzing a handwritten mathematical expression for a subordinate sub-expression includes identifying sub-expressions based on dominant symbols and determining a character for potential dominant symbols based upon sub-expression information. A determination may be made whether an expression structure candidate is valid and valid expression structure candidates may be stored in a parse tree.

摘要翻译： 描述了通过提供一部分多路径框架来将手写数学表达式识别并输入计算机的机制。 多路径框架的一部分包括从属子表达式分析组件。 用于分析用于下级子表达式的手写数学表达式的方法包括基于主要符号识别子表达，并且基于子表达信息确定潜在的主要符号的字符。 可以确定表达式结构候选是否是有效的，并且有效的表达式结构候选可以被存储在解析树中。

公开(公告)号：US07805301B2

公开(公告)日：2010-09-28

申请号：US11173907

申请日：2005-07-01

申请人： Ye Tian ,  Frank Kao-Ping Soong ,  Jian-Lai Zhou

发明人： Ye Tian ,  Frank Kao-Ping Soong ,  Jian-Lai Zhou

IPC分类号： G10L15/14

CPC分类号： G06K9/6297 ,  G10L15/02

摘要： A reliable full covariance matrix estimation algorithm for pattern unit's state output distribution in pattern recognition system is discussed. An intermediate hierarchical tree structure is built to relate models for product units. Full covariance matrices of pattern unit's state output distribution are estimated based on all the related nodes in the tree.

摘要翻译： 讨论了模式识别系统中模式单元状态输出分布的可靠全协方差矩阵估计算法。 建立了一个中间分层树结构来关联产品单元的模型。 基于树中所有相关节点估计模式单位状态输出分布的全协方差矩阵。

公开(公告)号：US07561738B2

公开(公告)日：2009-07-14

申请号：US11155614

申请日：2005-06-20

申请人： Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Mingqing Xu ,  Yue Li ,  Xiaohui Hou ,  Dongmei Zhang ,  Jian Wang

发明人： Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Mingqing Xu ,  Yue Li ,  Xiaohui Hou ,  Dongmei Zhang ,  Jian Wang

IPC分类号： G06K9/18

CPC分类号： G06K9/222

摘要： A mechanism for recognizing and inputting handwritten mathematical expressions into a computer by providing a part of a multi-path framework is described. The part of the multi-path framework includes a symbol grouping and recognition component that is designed to group input strokes that correspond to a handwritten mathematical expression into a symbol and to recognize the symbol based upon information associated with the grouped input strokes. A method for grouping and recognizing symbols of a handwritten mathematical expression includes receiving a plurality of input strokes corresponding to a handwritten mathematical expression, grouping the plurality of input strokes into symbols, recognizing the symbols based upon information, such as shape and time series information, associated with the grouped input strokes. Intra-group and inter-group information associated with the plurality of input strokes may be utilized to group the input strokes.

摘要翻译： 描述了通过提供多路径框架的一部分来将手写数学表达式识别并输入到计算机中的机制。 多路径框架的一部分包括符号分组和识别组件，其被设计为将对应于手写数学表达式的输入笔划分组到符号中，并且基于与分组的输入笔画相关联的信息来识别符号。 一种用于分组和识别手写数学表达符号的方法包括：接收与手写数学表达式对应的多个输入笔画，将多个输入笔划分组成符号，基于诸如形状和时间序列信息的信息识别符号， 与分组的输入笔画相关联。 可以利用与多个输入笔画相关联的组内和组间信息来对输入笔画进行分组。

公开(公告)号：US20070219797A1

公开(公告)日：2007-09-20

申请号：US11376803

申请日：2006-03-16

申请人： Peng Liu ,  Ye Tian ,  Jian-Lai Zhou ,  Frank Soong

发明人： Peng Liu ,  Ye Tian ,  Jian-Lai Zhou ,  Frank Soong

IPC分类号： G10L15/18

CPC分类号： G10L15/08 ,  G10L15/02 ,  G10L15/187 ,  G10L15/193

摘要： Speech recognition such as command and control speech recognition generally use a context free grammar to constrain the decoding process. Word or subword background model are constructed to repopulate dynamic hypothesis space, especially when word spareness is at issue. The background models can be later used in speech recognition. During speech recognition, background and conventional context free grammar decoding are used to measure confidence. The discussion above is merely provided for general background information and is not intended to be used as an aid in determining the scope of the claimed subject matter.

摘要翻译： 诸如命令和控制语音识别之类的语音识别通常使用无上下文的语法来限制解码过程。 构建词或子词背景模型，以重新构建动态假设空间，特别是在词语空间问题时。 背景模型可以稍后用于语音识别。 在语音识别期间，使用背景和常规上下文无关语法解码来测量置信度。 上面的讨论仅用于一般背景信息，并不旨在用于帮助确定所要求保护的主题的范围。

公开(公告)号：US20060062471A1

公开(公告)日：2006-03-23

申请号：US11155785

申请日：2005-06-20

申请人： Mingqing Xu ,  Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Xiaohui Hou ,  Zhouchen Lin ,  Dongmei Zhang ,  Jian Wang

发明人： Mingqing Xu ,  Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Xiaohui Hou ,  Zhouchen Lin ,  Dongmei Zhang ,  Jian Wang

IPC分类号： G06K9/18

CPC分类号： G06K9/00422 ,  G06K9/222 ,  G06K9/72 ,  G06K2209/01

摘要： A mechanism for recognizing and inputting handwritten mathematical expressions into a computer by providing part of a multi-path framework is described. The part of the multi-path framework includes a subordinate sub-expression analysis component. A method for analyzing a handwritten mathematical expression for a subordinate sub-expression includes identifying sub-expressions based on dominant symbols and determining a character for potential dominant symbols based upon sub-expression information. A determination may be made whether an expression structure candidate is valid and valid expression structure candidates may be stored in a parse tree.

摘要翻译： 描述了通过提供一部分多路径框架来将手写数学表达式识别并输入计算机的机制。 多路径框架的一部分包括从属子表达式分析组件。 用于分析用于下级子表达式的手写数学表达式的方法包括基于主要符号识别子表达，并且基于子表达信息确定潜在的主要符号的字符。 可以确定表达式结构候选是否是有效的，并且有效的表达式结构候选可以被存储在解析树中。

公开(公告)号：US20060062467A1

公开(公告)日：2006-03-23

申请号：US11155614

申请日：2005-06-20

申请人： Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Mingqing Xu ,  Yue Li ,  Xiaohui Hou ,  Dongmei Zhang ,  Jian Wang

发明人： Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Mingqing Xu ,  Yue Li ,  Xiaohui Hou ,  Dongmei Zhang ,  Jian Wang

IPC分类号： G06K9/18

CPC分类号： G06K9/222

摘要： A mechanism for recognizing and inputting handwritten mathematical expressions into a computer by providing a part of a multi-path framework is described. The part of the multi-path framework includes a symbol grouping and recognition component that is designed to group input strokes that correspond to a handwritten mathematical expression into a symbol and to recognize the symbol based upon information associated with the grouped input strokes. A method for grouping and recognizing symbols of a handwritten mathematical expression includes receiving a plurality of input strokes corresponding to a handwritten mathematical expression, grouping the plurality of input strokes into symbols, recognizing the symbols based upon information, such as shape and time series information, associated with the grouped input strokes. Intra-group and inter-group information associated with the plurality of input strokes may be utilized to group the input strokes.

公开(公告)号：US20050143983A1

公开(公告)日：2005-06-30

申请号：US11063279

申请日：2005-02-22

申请人： Eric Chang ,  Jian-Lai Zhou

发明人： Eric Chang ,  Jian-Lai Zhou

IPC分类号： G10L25/90 ,  G10L11/04

CPC分类号： G10L25/90

摘要： A computationally efficient and robust pitch detection and tracking system and related methods are presented. According to certain exemplary implementations a method is presented comprising identifying an initial set of pitch period candidates using a first estimation algorithm, filtering the initial set of candidates and passing the filtered candidates through a second, more accurate pitch estimation algorithm to generate a final set of pitch period candidates from which the most likely pitch value is selected.

摘要翻译： 提出了一种计算有效和鲁棒的音高检测和跟踪系统及相关方法。 根据某些示例性实施方式，呈现一种方法，包括使用第一估计算法来识别初始的音调周期候选集合，对候选的初始集合进行滤波，并且通过第二更精确的音调估计算法传递经滤波的候选，以产生最终的一组 选择最可能的音调值的音调周期候选。