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    • 1. 发明授权
    • System and method for utilizing speech recognition to efficiently perform data indexing procedures
    • 利用语音识别有效执行数据索引程序的系统和方法
    • US07272562B2
    • 2007-09-18
    • US10812560
    • 2004-03-30
    • Lex OlorenshawGustavo Hernandez AbregoEugene Koontz
    • Lex OlorenshawGustavo Hernandez AbregoEugene Koontz
    • G10L11/00
    • G06F17/30268G10L15/26
    • A system and method for utilizing speech recognition to efficiently perform data indexing procedures includes an authoring module that coordinates an authoring procedure for creating an index file that has pattern word sets corresponding to data objects stored in a memory of a host electronic device. The pattern word sets are generated with a speech recognition engine that transforms spoken data descriptions into text data descriptions for creating the pattern word sets. The pattern word sets are associated in the index file with data object identifiers that uniquely identify the corresponding data objects. A retrieval module manages a retrieval procedure in which the speech recognition engine converts a spoken data request into a text data request. The retrieval module compares the text data request and the pattern word sets to identify a requested object identifier for locating a requested data object from among the data objects stored in the memory of the host electronic device.
    • 一种用于利用语音识别来有效地执行数据索引过程的系统和方法包括:编写模块,其协调用于创建索引文件的创作过程,该索引文件具有对应于存储在主机电子设备的存储器中的数据对象的模式字集。 使用语音识别引擎生成模式词集,其将口头数据描述转换成用于创建模式词集的文本数据描述。 模式字集在索引文件中与唯一标识对应的数据对象的数据对象标识符相关联。 检索模块管理语音识别引擎将语音数据请求转换为文本数据请求的检索过程。 检索模块将文本数据请求和模式字集合进行比较,以便从存储在主机电子设备的存储器中的数据对象中识别用于定位所请求的数据对象的请求的对象标识符。
    • 2. 发明授权
    • 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
    • US07272560B2
    • 2007-09-18
    • US10805840
    • 2004-03-22
    • Gustavo Hernandez AbregoXavier Menendez-PidalLex Olorenshaw
    • Gustavo Hernandez AbregoXavier Menendez-PidalLex Olorenshaw
    • G10L15/06
    • 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。
    • 3. 发明申请
    • System and method for utilizing speech recognition to efficiently perform data indexing procedures
    • 利用语音识别有效执行数据索引程序的系统和方法
    • US20050228671A1
    • 2005-10-13
    • US10812560
    • 2004-03-30
    • Lex OlorenshawGustavo AbregoEugene Koontz
    • Lex OlorenshawGustavo AbregoEugene Koontz
    • G06F17/30G10L13/08G10L15/26
    • G06F17/30268G10L15/26
    • A system and method for utilizing speech recognition to efficiently perform data indexing procedures includes an authoring module that coordinates an authoring procedure for creating an index file that has pattern word sets corresponding to data objects stored in a memory of a host electronic device. The pattern word sets are generated with a speech recognition engine that transforms spoken data descriptions into text data descriptions for creating the pattern word sets. The pattern word sets are associated in the index file with data object identifiers that uniquely identify the corresponding data objects. A retrieval module manages a retrieval procedure in which the speech recognition engine converts a spoken data request into a text data request. The retrieval module compares the text data request and the pattern word sets to identify a requested object identifier for locating a requested data object from among the data objects stored in the memory of the host electronic device.
    • 一种用于利用语音识别来有效地执行数据索引过程的系统和方法包括:编写模块,其协调用于创建索引文件的创作过程,该索引文件具有对应于存储在主机电子设备的存储器中的数据对象的模式字集。 使用语音识别引擎生成模式词集,其将口头数据描述转换成用于创建模式词集的文本数据描述。 模式字集在索引文件中与唯一标识对应的数据对象的数据对象标识符相关联。 检索模块管理语音识别引擎将语音数据请求转换为文本数据请求的检索过程。 检索模块将文本数据请求和模式字集合进行比较,以便从存储在主机电子设备的存储器中的数据对象中识别用于定位所请求的数据对象的请求的对象标识符。
    • 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。
    • 10. 发明授权
    • Method for implementing a speech verification system for use in a noisy environment
    • 用于实现在嘈杂环境中使用的语音验证系统的方法
    • US06272460B1
    • 2001-08-07
    • US09264288
    • 1999-03-08
    • Duanpei WuMiyuki TanakaLex Olorenshaw
    • Duanpei WuMiyuki TanakaLex Olorenshaw
    • G10L1900
    • G10L25/78
    • A method for implementing a speech verification system for use in a noisy environment comprises the steps of generating a confidence index for an utterance using a speech verifier, and controlling the speech verifier with a processor, wherein the utterance contains frames of sound energy. The speech verifier includes a noise suppressor, a pitch detector, and a confidence determiner. The noise suppressor suppresses noise in each frame in the utterance by summing a frequency spectrum for each frame with frequency spectra of a selected number of previous frames to produce a spectral sum. The pitch detector applies a spectral comb window to each spectral sum to produce correlation values for each frame in the utterance. The pitch detector also applies an alternate spectral comb window to each spectral sum to produce alternate correlation values for each frame in the utterance. The confidence determiner evaluates the correlation values to produce a frame confidence measure for each frame in the utterance. The confidence determiner then uses the frame confidence measures to generate the confidence index for the utterance, which indicates whether the utterance is or is not speech.
    • 用于实现在噪声环境中使用的语音验证系统的方法包括以下步骤:使用语音验证器产生用于话语的置信度指标,以及用处理器控制语音检验器,其中所述话语包含声能帧。 语音检验器包括噪声抑制器,音调检测器和置信度确定器。 噪声抑制器通过将每帧的频谱与选定数量的先前帧的频谱相加来抑制每个帧中的噪声,以产生频谱和。 音调检测器将频谱梳窗口应用于每个频谱和,以产生话音中每帧的相关值。 音调检测器还对每个频谱和应用替代频谱梳窗口,以产生话音中每帧的交替相关值。 置信度确定器评估相关值以产生话语中的每个帧的帧置信度量。 然后,置信度确定器使用帧置信度度量来产生话语的置信指数,这表明语音是否是语音。