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    • 2. 发明授权
    • System and method for speech verification using a confidence measure
    • 使用置信度测量语音验证的系统和方法
    • US06473735B1
    • 2002-10-29
    • US09553985
    • 2000-04-20
    • Duanpei WuXavier Menendez-PidalLex OlorenshawRuxin Chen
    • Duanpei WuXavier Menendez-PidalLex OlorenshawRuxin Chen
    • G10L1506
    • G10L15/10G10L2015/085
    • The present invention comprises a system and method for speech verification using a confidence measure that includes a speech verifier which compares a differential score for a recognized word to a predetermined threshold value, where a recognized word is the word model that produced the highest recognition score. In one embodiment, a single threshold is used for each word in a vocabulary. In another embodiment, each word model has an associated threshold, so that a differential score for a recognized word is compared to a unique threshold associated with that word. In a further embodiment, pairs of confused words in the vocabulary are dealt with separately. If a confused word is the recognized word, the speech verifier compares the differential score to a threshold that depends on the word model that produced the next-highest recognition score. Different values for the various thresholds may maximize rejection accuracy or recognition accuracy. A trade-off between rejection accuracy and recognition accuracy may be made by utilizing an intermediate threshold value that is between a minimum threshold value and a maximum threshold value.
    • 本发明包括一种用于使用置信度测量的语音验证的系统和方法,所述置信度测量包括将识别的词的差分得分与预定阈值进行比较的语音验证器,其中识别词是产生最高识别分数的单词模型。 在一个实施例中,词汇中的每个单词使用单个阈值。 在另一个实施例中,每个单词模型具有相关联的阈值,使得将识别的单词的差分分数与与该单词相关联的唯一阈值进行比较。 在另一实施例中,词汇表中的混淆词对被单独处理。 如果一个混淆的单词是被识别的单词,语音验证器将差分分数与取决于产生下一最高识别分数的单词模型的阈值进行比较。 各种阈值的不同值可以最大化拒绝准确度或识别精度。 可以通过利用处于最小阈值和最大阈值之间的中间阈值来进行拒绝准确度和识别精度之间的折衷。
    • 4. 发明授权
    • Method for utilizing validity constraints in a speech endpoint detector
    • 用于在语音端点检测器中使用有效性约束的方法
    • US06718302B1
    • 2004-04-06
    • US09482396
    • 2000-01-12
    • Duanpei WuMiyuki TanakaRuxin ChenLex Olorenshaw
    • Duanpei WuMiyuki TanakaRuxin ChenLex Olorenshaw
    • G10L1102
    • G10L25/87
    • A method for utilizing validity constraints in a speech endpoint detector comprises a validity manager that may utilize a pulse width module to validate utterances that include a plurality of energy pulses during a certain time period. The validity manager also may utilize a minimum power module to ensure that speech energy below a pre-determined level is not classified as a valid utterance. In addition the validity manager may use a duration module to ensure that valid utterances fall within a specified duration. Finally, the validity manager may utilize a short-utterance minimum power module to specifically distinguish an utterance of short duration from background noise based on the energy level of the short utterance.
    • 一种用于在语音端点检测器中利用有限约束的方法包括有效性管理器,其可以利用脉冲宽度模块来在特定时间段期间验证包括多个能量脉冲的话语。 有效性管理器还可以利用最小功率模块来确保低于预定电平的语音能量不被分类为有效的话语。 此外,有效性管理器可以使用持续时间模块来确保有效的话语落在指定的持续时间内。 最后,有效性管理器可以利用短话语最小功率模块来基于短语的能量级别来特别地区分短时间的短时间与背景噪声的发音。
    • 7. 发明申请
    • Methodology for performing a refinement procedure to implement a speech recognition dictionary
    • 执行语音识别字典的细化程序的方法
    • US20050209854A1
    • 2005-09-22
    • US10805840
    • 2004-03-22
    • Gustavo AbregoXavier Menendez-PidalLex Olorenshaw
    • Gustavo AbregoXavier Menendez-PidalLex Olorenshaw
    • G10L15/00G10L15/18
    • G10L15/187
    • A system and method for performing a refinement procedure to effectively implement a speech recognition dictionary for spontaneous speech recognition may include a problematic word identifier configured to divide vocabulary words from an initial speech recognition dictionary into problematic words and non-problematic words according to pre-defined identification criteria. A candidate generator may analyze the problematic words to produce one or more pronunciation candidates for each of the problematic words. An optimization module may then perform an optimization process for refining one or more pronunciation candidates according to certain optimization criteria to thereby generate optimized problematic pronunciations. A dictionary refinement manager may finally combine the optimized problematic pronunciations with non-problematic pronunciations of the non-problematic words to produce a refined speech recognition dictionary for use by the speech recognition system.
    • 用于执行精简程序以有效地实现用于自发语音识别的语音识别字典的系统和方法可以包括有问题的字标识符,其被配置为根据预定义将词汇词从初始语音识别词典分为有问题的词和无问题词 识别标准。 候选生成器可以分析有问题的单词以产生每个有问题的单词的一个或多个发音候选。 然后,优化模块可以根据某些优化标准执行优化一个或多个发音候选的优化过程,从而产生优化的有问题的发音。 字典细化管理器可以最终将优化的有问题的发音与无问题词的非有问题的发音相结合,以产生语音识别系统使用的精细语音识别字典。