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1. 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。

2. 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。

3. 发明申请

US20100211376A1 MULTIPLE LANGUAGE VOICE RECOGNITION 有权
标题翻译：多种语言语音识别
公开(公告)号：US20100211376A1
公开(公告)日：2010-08-19
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： G06F17/28 , G10L15/00
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。

4. 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。

5. 发明申请

US20060277032A1 Structure for grammar and dictionary representation in voice recognition and method for simplifying link and node-generated grammars 有权
标题翻译：用于语音识别中的语法和字典表示的结构以及用于简化链接和节点生成的语法的方法
公开(公告)号：US20060277032A1
公开(公告)日：2006-12-07
申请号：US11437444
申请日：2006-05-19
申请人： Gustavo Hernandez-Abrego , Ruxin Chen
发明人： Gustavo Hernandez-Abrego , Ruxin Chen
IPC分类号： G06F17/27
CPC分类号： G10L15/193 , G10L15/285
摘要： Methods for optimizing grammar structure for a set of phrases to be used in speech recognition during a computing event are provided. One method includes receiving a set of phrases, the set of phrases being relevant for the computing event and the set of phrases having a node and link structure. Also included is identifying redundant nodes by examining the node and link structures of each of the set of phrases so as to generate a single node for the redundant nodes. The method further includes examining the node and link structures to identify nodes that are capable of being vertically grouped and grouping the identified nodes to define vertical word groups. The method continues with fusing nodes of the set of phrases that are not vertically grouped into fused word groups. Wherein the vertical word groups and the fused word groups are linked to define an optimized grammar structure. In another aspect, a layered grammar and dictionary library that can be defined for efficient use in speech recognition systems, is provided.
摘要翻译：提供了一种用于在计算事件期间用于语音识别中的一组短语的语法结构优化的方法。一种方法包括接收一组短语，该组短语与计算事件相关，以及具有节点和链接结构的短语集合。还包括通过检查每组短语的节点和链接结构来识别冗余节点，以便为冗余节点生成单个节点。该方法还包括检查节点和链路结构以识别能够被垂直分组的节点，并且对所识别的节点进行分组以定义垂直字组。该方法继续融合未垂直分组成融合词组的短语集合中的节点。其中垂直单词组和融合词组被链接以定义优化的语法结构。在另一方面，提供了可以被定义用于语音识别系统中有效使用的分层语法和字典库。

6. 发明授权

US08761412B2 Microphone array steering with image-based source location 有权
标题翻译：麦克风阵列转向与基于图像的源位置
公开(公告)号：US08761412B2
公开(公告)日：2014-06-24
申请号：US12969896
申请日：2010-12-16
申请人： Gustavo Hernandez-Abrego , Eric Larsen
发明人： Gustavo Hernandez-Abrego , Eric Larsen
IPC分类号： H04R3/00
CPC分类号： A63F13/215 , A63F13/211 , A63F13/213 , A63F2300/1087 , A63F2300/6072 , A63F2300/6081 , G10L21/0216 , G10L2021/02087 , G10L2021/02166 , H04R3/005
摘要： Methods and systems for beam forming an audio signal based on a location of an object relative to the listening device, the location being determined from positional data deduced from an optical image including the object. In an embodiment, an object's position is tracked based on video images of the object and the audio signal received from a microphone array located at a fixed position is filtered based on the tracked object position. Beam forming techniques may be applied to emphasize portions of an audio signal associated with sources near the object.
摘要翻译：基于对象相对于听音装置的位置的波束形成音频信号的方法和系统，该位置是从包括对象的光学图像推断的位置数据确定的。在一个实施例中，基于对象的视频图像跟踪对象的位置，并且基于被跟踪的对象位置对从位于固定位置的麦克风阵列接收的音频信号进行过滤。波束形成技术可以用于强调与物体附近的源相关联的音频信号的部分。

7. 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。

8. 发明申请

US20120155703A1 MICROPHONE ARRAY STEERING WITH IMAGE-BASED SOURCE LOCATION 有权
标题翻译：麦克风阵列转向与基于图像的源位置
公开(公告)号：US20120155703A1
公开(公告)日：2012-06-21
申请号：US12969896
申请日：2010-12-16
申请人： Gustavo Hernandez-Abrego , Eric Larsen
发明人： Gustavo Hernandez-Abrego , Eric Larsen
IPC分类号： G06K9/00 , H04R3/00
CPC分类号： A63F13/215 , A63F13/211 , A63F13/213 , A63F2300/1087 , A63F2300/6072 , A63F2300/6081 , G10L21/0216 , G10L2021/02087 , G10L2021/02166 , H04R3/005
摘要： Methods and systems for beam forming an audio signal based on a location of an object relative to the listening device, the location being determined from positional data deduced from an optical image including the object. In an embodiment, an object's position is tracked based on video images of the object and the audio signal received from a microphone array located at a fixed position is filtered based on the tracked object position. Beam forming techniques may be applied to emphasize portions of an audio signal associated with sources near the object.
摘要翻译：基于对象相对于听音装置的位置的波束形成音频信号的方法和系统，该位置是从包括对象的光学图像推断的位置数据确定的。在一个实施例中，基于对象的视频图像跟踪对象的位置，并且基于被跟踪的对象位置对从位于固定位置的麦克风阵列接收的音频信号进行过滤。波束形成技术可以用于强调与物体附近的源相关联的音频信号的部分。

9. 发明申请

US20110126694A1 METHODS FOR GENERATING NEW OUTPUT SOUNDS FROM INPUT SOUNDS 有权
标题翻译：从输入声音中产生新的输出声音的方法
公开(公告)号：US20110126694A1
公开(公告)日：2011-06-02
申请号：US13020776
申请日：2011-02-03
申请人： Gustavo Hernandez-Abrego
发明人： Gustavo Hernandez-Abrego
IPC分类号： G10H7/00
CPC分类号： G10H1/0025
摘要： Methods for dynamically analyzing input sounds and processing the input sounds to define a new set of output sounds are provided. One method includes receiving a first set of input sounds and a second set of input sounds, where each of the first and second sets of input sounds are processed to identify one of a tone, intensity, or frequency, and a duration. The method defines a node for each identified input sound and a link between the input sounds of the first and second sets of input sounds. The nodes and links from the first and second sets of input sounds create a respective first and second finite state automata. A history value is defined for processing the nodes of the first and second sets of input sounds, and the history value defines a number of previous nodes that will be identical in each of the first and second sets of input sounds before a particular node is shared between the first and second sets of input sounds. Then, the method forms the new set of output sounds from a third finite state automaton that includes nodes from the first and second set of input nodes and nodes that are shared based on meeting the history value.
摘要翻译：提供了动态分析输入声音和处理输入声音以定义一组新的输出声音的方法。一种方法包括接收第一组输入声音和第二组输入声音，其中处理第一和第二组输入声音中的每一个以识别音调，强度或频率中的一个以及持续时间。该方法为每个识别的输入声音定义一个节点，以及第一和第二组输入声音的输入声音之间的链接。来自第一和第二组输入声音的节点和链接产生相应的第一和第二有限状态自动机。定义历史值以处理第一和第二组输入声音的节点，并且历史值定义在特定节点被共享之前在第一组和第二组输入声音中的每一个将相同的先前节点的数量在第一组和第二组输入声音之间。然后，该方法形成来自第三有限状态自动机的新的一组输出声音，其包括来自第一和第二组输入节点的节点和基于满足历史值共享的节点。

10. 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。

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