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    • 1. 发明授权
    • Displaying voice commands with multiple variables
    • 显示具有多个变量的语音命令
    • US6085159A
    • 2000-07-04
    • US48713
    • 1998-03-26
    • Kerry A. OrtegaLinda M. BoyerThomas A. Kist
    • Kerry A. OrtegaLinda M. BoyerThomas A. Kist
    • G10L15/22G10L15/26
    • G10L15/22G06F3/167
    • A method for displaying voice commands with multiple variables in a speech application, comprises the steps of: compiling a list of each voice command which can include at least one variable; storing with each the voice command each variable associated with each voice the command in the list; displaying in response to a user request a command and each of its associated variables; and, displaying each of the associated variables within delimiters to indicate to the user that a choice must be made from a set of choices for each the associated variable together with the command. A set of choices for each stored variable can be stored. The set of the choices for each variable associated with the voice command and at least one word to use to select one of the choices in each the set when uttering the voice command can be supplied in response to a user request.
    • 一种用于在语音应用中显示具有多个变量的语音命令的方法,包括以下步骤:编译可包括至少一个变量的每个语音命令的列表; 每个语音命令存储与每个语音相关联的每个变量在列表中的命令; 显示响应于用户请求命令及其每个相关变量; 并且在分隔符中显示每个相关联的变量以向用户指示必须从命令的每一个相关变量的一组选择中进行选择。 可以存储每个存储变量的一组选择。 响应于用户请求,可以提供与语音命令相关联的每个变量的选择集合和用于在发出语音命令时在每个集合中选择一个选择中的至少一个单词。
    • 2. 发明授权
    • Managing voice commands in speech applications
    • 在语音应用程序中管理语音命令
    • US06182046B2
    • 2001-01-30
    • US09048714
    • 1998-03-26
    • Kerry A. OrtegaLinda M. BoyerThomas A. KistJames R. LewisBarbara E. BallardRonald VanBuskirkArthur Keller
    • Kerry A. OrtegaLinda M. BoyerThomas A. KistJames R. LewisBarbara E. BallardRonald VanBuskirkArthur Keller
    • G10L1522
    • G10L15/22G10L2015/228
    • A method for managing a What Can I Say (WCIS) function in an application having a plurality of commands which can be voice activated comprises the steps of: storing a set of substantially all voice activatable commands associated with the application; identifying those of the commands in the set which are displayable by the application; and, in response to a user input, displaying in a graphical user interface (GUI) a subset of the voice activatable commands which are not displayable by the application. Moreover, the method includes displaying in the GUI, in response to a user input, a list of the stored set of substantially all voice activatable commands associated with the application; displaying in the GUI a pull down menu identifying different categories by which the commands can be viewed in the list; and, displaying the GUI with a pull down menu identifying commands that can be performed against a voice command.
    • 一种用于管理具有可以被语音激活的多个命令的应用中的“可以说什么(WCIS)”功能的方法包括以下步骤:存储与应用相关联的基本上所有可语音激活的命令的集合; 识别集合中可由应用程序显示的命令的那些; 并且响应于用户输入,在图形用户界面(GUI)中显示无法由应用程序显示的语音可激活命令的子集。 此外,该方法包括在GUI中显示响应于用户输入的存储的与应用相关联的基本上所有语音激活命令的集合的列表; 在GUI中显示识别不同类别的下拉菜单,通过该菜单可以在列表中查看命令; 并且用下拉菜单显示GUI,以识别针对语音命令可执行的命令。
    • 3. 发明授权
    • Method and apparatus for recognizing from here to here voice command structures in a finite grammar speech recognition system
    • 用于从这里识别有限语法语音识别系统中的语音命令结构的方法和装置
    • US06745165B2
    • 2004-06-01
    • US09334112
    • 1999-06-16
    • James R. LewisKerry A. OrtegaMaria E. SmithThomas A. KistLinda M. Boyer
    • James R. LewisKerry A. OrtegaMaria E. SmithThomas A. KistLinda M. Boyer
    • G10L1522
    • G10L15/22G10L2015/223
    • A method and system uses a finite state command grammar coordinated with application scripting to recognize voice command structures for performing an event from an initial location to a new location. The method involves a series of steps, including: recognizing an enabling voice command specifying the event to be performed from the initial location; determining a functional expression for the enabling voice command defined by one or more actions and objects; storing the action and object in a memory location; receiving input specifying the new location; recognizing an activating voice command for performing the event up to the new location; retrieving the stored action and object from the memory location; and performing the event from the initial location to the new location according to the retrieved action and object. Preferably, the enabling-activating command is phrased as “from here . . . to here”. The user specifies the new location with voice commands issued subsequent to the enabling command. To reduce the occurrence of unintended events, these voice commands are counted so that if they exceed a predetermined limit, the action and object content is cleared from memory.
    • 方法和系统使用与应用程序脚本协调的有限状态命令语法来识别用于从初始位置到新位置执行事件的语音命令结构。 该方法涉及一系列步骤,包括:识别从初始位置指定要执行的事件的启用语音命令; 确定由一个或多个动作和对象定义的启用语音命令的功能表达; 将所述动作和对象存储在存储器位置中; 接收指定新位置的输入; 识别用于执行直到新位置的事件的激活语音命令; 从存储器位置检索存储的动作和对象; 以及根据检索到的动作和对象,从初始位置到新位置执行事件。 优选地,使能激活命令被称为“从这里到...”。 用户在启用命令之后指定发出语音命令的新位置。 为了减少非预期事件的发生,这些语音命令被计数,使得如果它们超过预定限制,则动作和对象内容从存储器中清除。
    • 8. 发明授权
    • Reclassification of training data to improve classifier accuracy
    • 重新分类训练数据,提高分类精度
    • US09342588B2
    • 2016-05-17
    • US11764291
    • 2007-06-18
    • Rajesh BalchandranLinda M. BoyerGregory Purdy
    • Rajesh BalchandranLinda M. BoyerGregory Purdy
    • G06F17/27G06F17/30
    • G06F17/30705
    • A method of creating a statistical classification model for a classifier within a natural language understanding system can include processing training data using an existing statistical classification model. Sentences of the training data correctly classified into a selected class of the statistical classification model can be selected. The selected sentences of the training data can be assigned to a fringe group or a core group according to confidence score. The training data can be updated by associating the fringe group with a fringe subclass of the selected class and the core group with a core subclass of the selected class. A new statistical classification model can be built from the updated training data. The new statistical classification model can be output.
    • 在自然语言理解系统内创建用于分类器的统计分类模型的方法可以包括使用现有的统计分类模型处理训练数据。 可以选择正确分类为所选类别的统计分类模型的训练数据句子。 训练数据的所选句子可以根据置信度得分分配给边缘组或核心组。 可以通过将边缘组与所选类的边缘子类和具有所选类的核心子类的核心组相关联来更新训练数据。 可以从更新的训练数据构建新的统计分类模型。 可以输出新的统计分类模型。
    • 9. 发明授权
    • Sub-model generation to improve classification accuracy
    • 子模型生成提高分类精度
    • US09058319B2
    • 2015-06-16
    • US11764274
    • 2007-06-18
    • Rajesh BalchandranLinda M. BoyerGregory Purdy
    • Rajesh BalchandranLinda M. BoyerGregory Purdy
    • G06F17/27
    • G06F17/2715
    • A method of classifying text input for use with a natural language understanding system can include determining classification information including a primary classification and one or more secondary classifications for a received text input using a statistical classification model (statistical model). A statistical classification sub-model (statistical sub-model) can be selectively built according to a model generation criterion applied to the classification information. The method further can include selecting the primary classification or the secondary classification for the text input as a final classification according to the statistical sub-model and outputting the final classification for the text input.
    • 用于分类文本输入以与自然语言理解系统一起使用的方法可以包括使用统计分类模型(统计模型)确定包括主分类的分类信息和用于所接收的文本输入的一个或多个次分类。 可以根据应用于分类信息的模型生成准则选择性地建立统计分类子模型(统计子模型)。 该方法还可以包括根据统计子模型选择文本输入的主分类或次级分类作为最终分类,并输出文本输入的最终分类。