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    Interface for a voice-activated connection system
    1.
    发明授权
    Interface for a voice-activated connection system 失效
    语音激活连接系统的接口

    公开(公告)号：US6138100A

    公开(公告)日：2000-10-24

    申请号：US59912

    申请日：1998-04-14

    申请人： Dawn L. Dutton ,  Shrikanth Sambasivan Narayanan ,  Ilija Zeljkovic

    发明人： Dawn L. Dutton ,  Shrikanth Sambasivan Narayanan ,  Ilija Zeljkovic

    IPC分类号： G10L15/06 ,  G10L15/18 ,  G10L15/22 ,  G10L11/00 ,  G06F17/21 ,  G06F15/00 ,  G06F7/00

    CPC分类号： G10L15/1822 ,  G10L15/22 ,  G10L2015/0631 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

    摘要： A method and apparatus for defining an interface for a system using voice commands to connect a first user to a second user over a network. The interface receives a request to define the interface for a particular user. The interface receives a first information item, and searches at least one database for a second information item indexed by the first information item. Another search is performed for a third information item indexed by the second information item. This process is continued until the interface has gathered sufficient information items to construct a natural language grammar for use by the interface. The interface uses the natural language grammar to parse commands given by the user for future communications connections.

    摘要翻译： 一种用于使用语音命令定义用于通过网络将第一用户连接到第二用户的系统的接口的方法和装置。 接口接收一个定义特定用户接口的请求。 接口接收第一信息项，并且搜索由第一信息项索引的第二信息项的至少一个数据库。 对由第二信息项索引的第三信息项执行另一搜索。 该过程一直持续到界面收集足够的信息项以构建自然语言语言以供界面使用。 界面使用自然语言语法来解析用户给出的命令，以便将来的通信连接。

    Optical character recognition neural network system for machine-printed characters
    4.
    发明授权
    Optical character recognition neural network system for machine-printed characters 失效
    用于机器印刷字符的光学字符识别神经网络系统

    公开(公告)号：US5048097A

    公开(公告)日：1991-09-10

    申请号：US474587

    申请日：1990-02-02

    申请人： Roger S. Gaborski ,  Louis J. Beato ,  Lori L. Barski ,  Hin-Leong Tan ,  Andrew M. Assad ,  Dawn L. Dutton

    发明人： Roger S. Gaborski ,  Louis J. Beato ,  Lori L. Barski ,  Hin-Leong Tan ,  Andrew M. Assad ,  Dawn L. Dutton

    IPC分类号： G06F15/18 ,  G06K9/00 ,  G06K9/34 ,  G06K9/66 ,  G06N3/00 ,  G06N99/00 ,  G06T7/00

    CPC分类号： G06K9/344 ,  G06K9/00 ,  G06K2209/01

    摘要： Character images which are to be sent to a neural network trained to recognize a predetermined set of symbols are first processed by an optical character recognition pre-processor which normalizes the character images. The output of the neural network is processed by an optical character recognition post-processor. The post-processor corrects erroneous symbol identifications made by the neural network. The post-processor identifies special symbols and symbol cases not identifiable by the neural network following character normalization. For characters identified by the neural network with low scores, the post-processor attempts to find and separate adjacent characters which are kerned and characters which are touching. The touching characters are separated in one of nine successively initiated processes depending upon the geometric parameters of the image. When all else fails, the post-processor selects either the second or third highest scoring symbol identified by the neural network based upon the likelihood of the second or third highest scoring symbol being confused with the highest scoring symbol.

    摘要翻译： 要被发送到训练以识别预定符号集合的神经网络的字符图像首先由归一化字符图像的光学字符识别预处理器处理。 神经网络的输出由光学字符识别后处理器处理。 后处理器纠正由神经网络进行的错误符号识别。 后处理器识别字符归一化后的神经网络不能识别的特殊符号和符号情况。 对于具有低分数的神经网络识别的字符，后处理器尝试查找和分离相关的字符和被触摸的字符。 根据图像的几何参数，触摸字符以九个连续发起的过程中的一个分离。 当所有其他故障时，后处理器基于第二或第三高评分符号与最高评分符号混淆的可能性来选择由神经网络识别的第二或第三高得分符号。