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11. 发明授权

US08788256B2 Multiple language voice recognition 有权
标题翻译：多语言语音识别
公开(公告)号：US08788256B2
公开(公告)日：2014-07-22
申请号：US12698963
申请日：2010-02-02
申请人： Ruxin Chen , Gustavo Hernandez-Abrego , Masanori Omote , Xavier Menendez-Pidal
发明人： Ruxin Chen , Gustavo Hernandez-Abrego , Masanori Omote , Xavier Menendez-Pidal
IPC分类号： G06F17/20
CPC分类号： G10L15/187 , G10L2015/025
摘要： Computer implemented speech processing generates one or more pronunciations of an input word in a first language by a non-native speaker of the first language who is a native speaker of a second language. The input word is converted into one or more pronunciations. Each pronunciation includes one or more phonemes selected from a set of phonemes associated with the second language. Each pronunciation is associated with the input word in an entry in a computer database. Each pronunciation in the database is associated with information identifying a pronunciation language and/or a phoneme language.
摘要翻译：计算机实现的语音处理由作为第二语言的母语的第一语言的非母语者产生第一语言的输入单词的一个或多个发音。输入字被转换为一个或多个发音。每个发音包括从与第二语言相关联的一组音素中选择的一个或多个音素。每个发音都与计算机数据库中的条目中的输入单词相关联。数据库中的每个发音都与识别发音语言和/或音素语言的信息相关联。

12. 发明申请

US20070061142A1 Audio, video, simulation, and user interface paradigms 有权
标题翻译：音频，视频，模拟和用户界面范例
公开(公告)号：US20070061142A1
公开(公告)日：2007-03-15
申请号：US11522304
申请日：2006-09-15
申请人： Gustavo Hernandez-Abrego , Xavier Menendez-Pidal , Steven Osman , Ruxin Chen , Rishi Deshpande , Care Michaud-Wideman , Richard Marks , Eric Larsen , Xiaodong Mao
发明人： Gustavo Hernandez-Abrego , Xavier Menendez-Pidal , Steven Osman , Ruxin Chen , Rishi Deshpande , Care Michaud-Wideman , Richard Marks , Eric Larsen , Xiaodong Mao
IPC分类号： G10L17/00
CPC分类号： A63F13/428 , A63F13/213 , A63F13/217 , G06F3/005 , G06F3/012 , G06F3/015 , G06F2203/011 , G10L17/005 , G10L17/04
摘要： Consumer electronic devices have been developed with enormous information processing capabilities, high quality audio and video outputs, large amounts of memory, and may also include wired and/or wireless networking capabilities. Additionally, relatively unsophisticated and inexpensive sensors, such as microphones, video camera, GPS or other position sensors, when coupled with devices having these enhanced capabilities, can be used to detect subtle features about users and their environments. A variety of audio, video, simulation and user interface paradigms have been developed to utilize the enhanced capabilities of these devices. These paradigms can be used separately or together in any combination. One paradigm automatically creating user identities using speaker identification. Another paradigm includes a control button with 3-axis pressure sensitivity for use with game controllers and other input devices.
摘要翻译：消费电子设备已经开发出了巨大的信息处理能力，高质量的音频和视频输出，大量的存储器，还可以包括有线和/或无线网络功能。此外，当与具有这些增强能力的设备耦合时，相对不成熟和便宜的传感器（例如麦克风，摄像机，GPS或其他位置传感器）可用于检测关于用户及其环境的微妙特征。已经开发出各种音频，视频，仿真和用户界面范例来利用这些设备的增强功能。这些范例可以单独使用或以任何组合一起使用。一个范例使用说话人识别自动创建用户身份。另一种范例包括一个具有3轴压力敏感度的控制按钮，用于游戏控制器和其他输入设备。

13. 发明授权

US07716047B2 System and method for an automatic set-up of speech recognition engines 失效
标题翻译：用于语音识别引擎自动设置的系统和方法
公开(公告)号：US07716047B2
公开(公告)日：2010-05-11
申请号：US10403730
申请日：2003-03-31
申请人： Gustavo Hernandez-Abrego , Xavier Menendez-Pidal , Thomas Kemp , Katsuki Minamino , Helmut Lucke
发明人： Gustavo Hernandez-Abrego , Xavier Menendez-Pidal , Thomas Kemp , Katsuki Minamino , Helmut Lucke
IPC分类号： G10L15/00 , G06F15/18
CPC分类号： G10L15/28
摘要： A system and method for an automatic set-up of speech recognition engines may include a speech recognizer configured to perform speech recognition procedures to identify input speech data according to one or more operating parameters. A merit manager may be utilized to automatically calculate merit values corresponding to the foregoing recognition procedures. These merit values may incorporate recognition accuracy information, recognition speed information, and a user-specified weighting factor that shifts the relative effect of the recognition accuracy information and the recognition speed information on the merit values. The merit manager may then automatically perform a merit value optimization procedure to select operating parameters that correspond to an optimal one of the merit values.
摘要翻译：用于语音识别引擎的自动设置的系统和方法可以包括被配置为执行语音识别过程以根据一个或多个操作参数来识别输入语音数据的语音识别器。可以使用优点管理器来自动计算对应于前述识别过程的优点值。这些优点值可以包括识别精度信息，识别速度信息和用户指定的加权因子，其将识别精度信息和识别速度信息的相对影响偏移在优值上。然后，优点管理器可以自动执行优值优化过程，以选择对应于优值的最佳值的操作参数。

14. 发明申请

US20050209854A1 Methodology for performing a refinement procedure to implement a speech recognition dictionary 有权
标题翻译：执行语音识别字典的细化程序的方法
公开(公告)号：US20050209854A1
公开(公告)日：2005-09-22
申请号：US10805840
申请日：2004-03-22
申请人： Gustavo Abrego , Xavier Menendez-Pidal , Lex Olorenshaw
发明人： Gustavo Abrego , Xavier Menendez-Pidal , Lex Olorenshaw
IPC分类号： G10L15/00 , G10L15/18
CPC分类号： G10L15/187
摘要： 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.
摘要翻译：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。

15. 发明授权

US06850886B2 System and method for speech verification using an efficient confidence measure 有权
标题翻译：使用有效的置信度测量语音验证的系统和方法
公开(公告)号：US06850886B2
公开(公告)日：2005-02-01
申请号：US09872069
申请日：2001-05-31
申请人： Gustavo Hernandez Abrego , Xavier Menendez-Pidal
发明人： Gustavo Hernandez Abrego , Xavier Menendez-Pidal
IPC分类号： G10L15/00 , G10L15/10 , G10L15/14
CPC分类号： G10L15/10 , G10L2015/085
摘要： The present invention comprises a system and method for speech verification using an efficient confidence measure, and includes a speech verifier which compares a confidence measure for a recognized word to a predetermined threshold value in order to determine whether the recognized word is valid, where a recognized word corresponds to a word model that produces a highest recognition score. In accordance with the present invention, the foregoing confidence measure may be calculated using the recognition score for the recognized word and a pseudo filler score that may be based upon selected average recognition scores from an N-best list of recognition candidates.
摘要翻译：本发明包括一种使用有效置信度测量语音验证的系统和方法，并且包括语音验证器，其将识别的词的置信度与预定阈值进行比较，以便确定所识别的词是否有效，其中识别词对应于产生最高识别分数的单词模型。根据本发明，可以使用识别词的识别分数和可以基于来自识别候选的N最佳列表的所选择的平均识别分数的伪填充分数来计算上述可信度度量。

16. 发明授权

US06778959B1 System and method for speech verification using out-of-vocabulary models 失效
标题翻译：使用词汇外模型进行语音验证的系统和方法
公开(公告)号：US06778959B1
公开(公告)日：2004-08-17
申请号：US09691877
申请日：2000-10-18
申请人： Duanpei Wu , Lex Olorenshaw , Xavier Menendez-Pidal , Ruxin Chen
发明人： Duanpei Wu , Lex Olorenshaw , Xavier Menendez-Pidal , Ruxin Chen
IPC分类号： G10L1314
CPC分类号： G10L15/08
摘要： A system and method for speech verification using out-of-vocabulary models includes a speech recognizer that has a model bank with system vocabulary word models, a garbage model, and one or more noise models. The model bank may reject an utterance or other sound as an invalid vocabulary word when the model bank identifies the utterance or other sound as corresponding to the garbage model or the noise models. Initial noise models may be selectively combined into a pre-determined number of final noise model clusters to effectively reduce the number of noise models that are utilized by the model bank of the speech recognizer to verify system vocabulary words.
摘要翻译：使用词汇外模型的语音验证的系统和方法包括语音识别器，其具有具有系统词汇词模型的模型库，垃圾模型和一个或多个噪声模型。当模型库识别与垃圾模型或噪声模型相对应的话语或其他声音时，模型库可以拒绝话语或其他声音作为无效词汇单词。初始噪声模型可以选择性地组合到预定数量的最终噪声模型群集中，以有效地减少由语音识别器的模型库利用以验证系统词汇单词的噪声模型的数量。

17. 发明授权

US08825482B2 Audio, video, simulation, and user interface paradigms 有权
标题翻译：音频，视频，模拟和用户界面范例
公开(公告)号：US08825482B2
公开(公告)日：2014-09-02
申请号：US11522304
申请日：2006-09-15
申请人： Gustavo Hernandez-Abrego , Xavier Menendez-Pidal , Steven Osman , Ruxin Chen , Rishi Deshpande , Care Michaud-Wideman , Richard Marks , Eric Larsen , Xiaodong Mao
发明人： Gustavo Hernandez-Abrego , Xavier Menendez-Pidal , Steven Osman , Ruxin Chen , Rishi Deshpande , Care Michaud-Wideman , Richard Marks , Eric Larsen , Xiaodong Mao
IPC分类号： G10L17/00
CPC分类号： A63F13/428 , A63F13/213 , A63F13/217 , G06F3/005 , G06F3/012 , G06F3/015 , G06F2203/011 , G10L17/005 , G10L17/04
摘要： Consumer electronic devices have been developed with enormous information processing capabilities, high quality audio and video outputs, large amounts of memory, and may also include wired and/or wireless networking capabilities. Additionally, relatively unsophisticated and inexpensive sensors, such as microphones, video camera, GPS or other position sensors, when coupled with devices having these enhanced capabilities, can be used to detect subtle features about users and their environments. A variety of audio, video, simulation and user interface paradigms have been developed to utilize the enhanced capabilities of these devices. These paradigms can be used separately or together in any combination. One paradigm automatically creating user identities using speaker identification. Another paradigm includes a control button with 3-axis pressure sensitivity for use with game controllers and other input devices.
摘要翻译：消费电子设备已经开发出了巨大的信息处理能力，高质量的音频和视频输出，大量的存储器，还可以包括有线和/或无线网络功能。此外，当与具有这些增强能力的设备耦合时，相对不成熟和便宜的传感器（例如麦克风，摄像机，GPS或其他位置传感器）可用于检测关于用户及其环境的微妙特征。已经开发出各种音频，视频，仿真和用户界面范例来利用这些设备的增强功能。这些范例可以单独使用或以任何组合一起使用。一个范例使用说话人识别自动创建用户身份。另一种范例包括一个具有3轴压力敏感度的控制按钮，用于游戏控制器和其他输入设备。

18. 发明授权

US07467086B2 Methodology for generating enhanced demiphone acoustic models for speech recognition 失效
标题翻译：用于生成用于语音识别的增强型demiphone声学模型的方法
公开(公告)号：US07467086B2
公开(公告)日：2008-12-16
申请号：US11013888
申请日：2004-12-16
申请人： Xavier Menendez-Pidal , Lex S. Olorenshaw , Gustavo Hernandez Abrego
发明人： Xavier Menendez-Pidal , Lex S. Olorenshaw , Gustavo Hernandez Abrego
IPC分类号： G10L15/28 , G10O15/06
CPC分类号： G10L15/142 , G10L2015/022
摘要： A system and method for effectively performing speech recognition procedures includes enhanced demiphone acoustic models that a speech recognition engine utilizes to perform the speech recognition procedures. The enhanced demiphone acoustic models each have three states that are collectively arranged to form a preceding demiphone and a succeeding demiphone. An acoustic model generator may utilize a decision tree for analyzing speech context information from a training database. The acoustic model generator then effectively configures each of the enhanced demiphone acoustic models as either a succeeding-dominant enhanced demiphone acoustic model or a preceding-dominant enhanced demiphone acoustic model to accurately model speech characteristics.
摘要翻译：用于有效执行语音识别程序的系统和方法包括语音识别引擎用于执行语音识别过程的增强的声音模型。增强的脱离音器声学模型每个具有三个状态，这些状态被集体地布置成形成前一个拆卸音和后续的拆卸音。声学模型生成器可以利用决策树来分析来自训练数据库的语音上下文信息。然后，声学模型发生器将每个增强的脱离音器声学模型有效地配置为随后的主导增强的脱离音器声学模型或者先前主导的增强的脱离音器声学模型，以精确地模拟语音特征。

19. 发明授权

US07103543B2 System and method for speech verification using a robust confidence measure 失效
标题翻译：使用鲁棒可信度测量语音验证的系统和方法
公开(公告)号：US07103543B2
公开(公告)日：2006-09-05
申请号：US10217738
申请日：2002-08-13
申请人： Gustavo Hernandez-Abrego , Xavier Menendez-Pidal
发明人： Gustavo Hernandez-Abrego , Xavier Menendez-Pidal
IPC分类号： G10L15/14
CPC分类号： G10L15/10 , G10L2015/085
摘要： The present invention comprises a system and method for speech verification using a robust confidence measure, and includes a speech verifier which compares a confidence measure for a recognized word to a predetermined threshold value in order to determine whether the recognized word is valid, where a recognized word corresponds to a word model that produces a highest recognition score. In accordance with the present invention, the foregoing confidence measure may be calculated using the recognition score for the recognized word, a background score of a worst recognition candidate, and a pseudo filler score that may be based upon selected average recognition scores from an N-best list of recognition candidates.
摘要翻译：本发明包括一种用于使用鲁棒置信度测量语音验证的系统和方法，并且包括语音验证器，其将识别词的置信度与预定阈值进行比较，以便确定所识别的词是否有效，其中识别词对应于产生最高识别分数的单词模型。根据本发明，可以使用识别的词的识别分数，最差识别候选的背景分数和可以基于来自N-末端的选择的平均识别分数的伪填充分数来计算上述可信度度量，最佳识别候选人名单。

20. 发明授权

US07035789B2 Supervised automatic text generation based on word classes for language modeling 失效
公开(公告)号：US07035789B2
公开(公告)日：2006-04-25
申请号：US09947114
申请日：2001-09-04
申请人： Gustavo Hernandez Abrego , Xavier Menendez-Pidal
发明人： Gustavo Hernandez Abrego , Xavier Menendez-Pidal
IPC分类号： G06F17/27 , G06F17/20 , G06F17/21
CPC分类号： G10L15/197
摘要： A system and method is provided that randomly generates text with a given structure. The structure is taken from a number of learning examples. The structure of training examples is captured by word classification and the definition of the relationships between word classes in a given language. The text generated with this procedure is intended to replicate the information given by the original learning examples. The resulting text may be used to better model the structure of a language in a stochastic language model.

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