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    • 1. 发明申请
    • INTERACTIVE LANGUAGE LEARNING SYSTEM AND METHOD
    • 互动语言学习系统与方法
    • WO2005115559A3
    • 2009-06-18
    • PCT/US2005017033
    • 2005-05-13
    • AURILAB LLCBAKER JAMES K
    • BAKER JAMES K
    • G09B19/00A63B21/02G06F17/20G09B5/00G09B5/06G09B7/02G09B19/06G09B19/08G10L15/00
    • G09B5/067G09B7/02G09B19/06G09B19/08
    • A method of interactive language instruction includes obtaining a sequence of basic units to present to a student. The method also includes obtaining a plurality of alternate representations for each of a plurality of the basic units. The method further includes presenting at least a portion of the sequence of basic units to the student. The method also includes obtaining input from the student during the presenting of the basic units. For at least one of the sequence of basic units to be presented to the student and the input from the student, segmentation is performed to break up a continuous stream of units into a sequence of discrete units. For at least one particular basic unit with the plurality of alternate representations, at least one of the alternate representations is automatically selected to present to the student based at least in part on the input obtained from the student during the presentation of basic units that are earlier in the sequence of basic units than the particular basic unit.
    • 交互式语言指导的方法包括获得向学生呈现的基本单元的序列。 该方法还包括获得多个基本单元中的每一个的多个交替表示。 该方法还包括向学生呈现基本单元序列的至少一部分。 该方法还包括在呈现基本单元期间从学生获得输入。 对于要呈现给学生的基本单元序列和学生的输入中的至少一个序列,执行分割以将连续的单元流分解成一系列离散单元。 对于具有多个替代表示的至少一个特定基本单元,至少一个替代表示被自动选择以至少部分地基于在呈现早期的基本单元的呈现期间从学生获得的输入来呈现给学生 在基本单位的顺序比特定的基本单位。
    • 3. 发明申请
    • SPEECH RECOGNITION WITH SHADOW MODELING
    • 语音识别与阴影建模
    • WO2004066267A2
    • 2004-08-05
    • PCT/US2004/001399
    • 2004-01-21
    • AURILAB, LLCBAKER, James, K.
    • BAKER, James, K.
    • G10L
    • G10L15/065
    • A speech recognition method, system and program product for the context of an existing model for a speech element, the method comprising in one embodiment: detecting an unusual instance of the speech; creating a new model to recognize the unusual instance of the speech element; computing a score for both the existing model by itself and the new model on new speech data; determining a comparative accuracy parameter for each of the models; and selecting to keep the existing model, or to keep the new model, or to keep both the existing model and the new model based on the comparative accuracy parameters of the respective models.
    • 一种用于语音元素的现有模型的上下文的语音识别方法,系统和程序产品,所述方法包括在一个实施例中:检测所述语音的异常实例; 创建一个新模型来识别语音元素的不寻常的实例; 计算现有模型本身的分数和新语音数据的新模型; 确定每个模型的比较精度参数; 并选择保留现有模型,保留新模型,或者根据各模型的比较精度参数保留现有模型和新模型。
    • 5. 发明申请
    • INTERACTIVE LANGUAGE LEARNING SYSTEM AND METHOD
    • 互动语言学习系统与方法
    • WO2005115559A2
    • 2005-12-08
    • PCT/US2005/017033
    • 2005-05-13
    • AURILAB, LLC.BAKER, James, K.
    • BAKER, James, K.
    • A63B21/02
    • G09B5/067G09B7/02G09B19/06G09B19/08
    • A method of interactive language instruction includes obtaining a sequence of basic units to present to a student. The method also includes obtaining a plurality of alternate representations for each of a plurality of the basic units. The method further includes presenting at least a portion of the sequence of basic units to the student. The method also includes obtaining input from the student during the presenting of the basic units. For at least one of the sequence of basic units to be presented to the student and the input from the student, segmentation is performed to break up a continuous stream of units into a sequence of discrete units. For at least one particular basic unit with the plurality of alternate representations, at least one of the alternate representations is automatically selected to present to the student based at least in part on the input obtained from the student during the presentation of basic units that are earlier in the sequence of basic units than the particular basic unit.
    • 交互式语言指导的方法包括获得向学生呈现的基本单元的序列。 该方法还包括获得多个基本单元中的每一个的多个交替表示。 该方法还包括向学生呈现基本单元序列的至少一部分。 该方法还包括在呈现基本单元期间从学生获得输入。 对于要呈现给学生的基本单元序列和学生的输入中的至少一个序列,执行分割以将连续的单元流分解成一系列离散单元。 对于具有多个替代表示的至少一个特定基本单元,至少一个替代表示被自动选择以至少部分地基于在呈现早期的基本单元的呈现期间从学生获得的输入来呈现给学生 在基本单位的顺序比特定的基本单位。
    • 7. 发明申请
    • SPEECH RECOGNITION WITH SOFT PRUNING
    • 用软弹的语音识别
    • WO2004072947A2
    • 2004-08-26
    • PCT/US2004003329
    • 2004-02-06
    • AURILAB LLCBAKER JAMES K
    • BAKER JAMES K
    • G10L15/00G10L15/08G10L
    • G10L15/08G10L2015/085
    • A method, program product, and system for speech recognition, the method comprising in one embodiment pruning a hypothesis based on a first criteria; storing information about the pruned hypothesis; and reactivating the pruned hypothesis if a second criterion is met. In an embodiment, the first criteria may be that another hypothesis has a better score at that time by some predetermined amount. In an embodiment, the stored information may comprise at least one of a score for the pruned hypothesis, an identification of the hypothesis that caused the pruning and the frame in which the pruning took place. In a further embodiment, the reactivating step may use at least some of the stored information about the pruned hypothesis in performing the reactivation and the second criteria may be that a revised score for the hypothesis that caused the pruning is worse by some predetermined amount from an original expected score calculated for that hypothesis.
    • 一种用于语音识别的方法,程序产品和系统,所述方法包括在一个实施例中基于第一准则修剪假设; 存储关于修剪假说的信息; 并且如果满足第二个标准,则重新激活修剪的假设。 在一个实施例中,第一标准可以是另一个假设在该时间具有较好的分数预定量。 在一个实施例中,所存储的信息可以包括修剪假说的得分,导致修剪的假设的识别和修剪发生的帧中的至少一个。 在另一实施例中,重新启动步骤可以使用关于修剪假设的至少一些所存储的信息来执行再激活,并且第二标准可以是导致修剪的假设的修改得分比来自 为该假设计算出原始预期分数。
    • 9. 发明申请
    • DUAL SEARCH ACCELERATION TECHNIQUE FOR SPEECH RECOGNITION
    • 用于语音识别的双重搜索加速技术
    • WO2004066268A3
    • 2005-12-15
    • PCT/US2004001403
    • 2004-01-21
    • AURILAB LLCBAKER JAMES K
    • BAKER JAMES K
    • G10L15/08G10L15/00
    • G10L15/08
    • A speech recognition method, system and program product, the method in one embodiment comprising: obtaining input speech data; initiating a first speech recognition search process with at least one hypothesis; initiating a second speech recognition search process with a plurality of hypotheses; obtaining partial results from the second speech recognition search process, where the partial results include an evaluation of at least one hypothesis that the first speech recognition search process has not evaluated at this point in time; and utilizing the partial results to alter the first speech recognition search process.
    • 一种语音识别方法,系统和程序产品,一个实施例中的方法包括:获得输入语音数据; 发起具有至少一个假设的第一语音识别搜索过程; 发起具有多个假设的第二语音识别搜索过程; 从所述第二语音识别搜索过程获得部分结果,其中所述部分结果包括所述第一语音识别搜索处理在该时间点尚未评估的至少一个假设的评估; 并且利用部分结果来改变第一语音识别搜索过程。
    • 10. 发明申请
    • DUAL SEARCH ACCELERATION TECHNIQUE FOR SPEECH RECOGNITION
    • 用于语音识别的双重搜索加速技术
    • WO2004066268A2
    • 2004-08-05
    • PCT/US2004/001403
    • 2004-01-21
    • AURILAB, LLCBAKER, James, K.
    • BAKER, James, K.
    • G10L
    • G10L15/08
    • A speech recognition method, system and program product, the method in one embodiment comprising: obtaining input speech data; initiating a first speech recognition search process with at least one hypothesis; initiating a second speech recognition search process with a plurality of hypotheses; obtaining partial results from the second speech recognition search process, where the partial results include an evaluation of at least one hypothesis that the first speech recognition search process has not evaluated at this point in time; and utilizing the partial results to alter the first speech recognition search process.
    • 一种语音识别方法,系统和程序产品,一个实施例中的方法包括:获得输入语音数据; 发起具有至少一个假设的第一语音识别搜索过程; 发起具有多个假设的第二语音识别搜索过程; 从所述第二语音识别搜索过程获得部分结果,其中所述部分结果包括所述第一语音识别搜索处理在该时间点尚未评估的至少一个假设的评估; 并且利用部分结果来改变第一语音识别搜索过程。