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11. 发明授权

US08781156B2 Voice-body identity correlation 有权
标题翻译：语音身份相关性
公开(公告)号：US08781156B2
公开(公告)日：2014-07-15
申请号：US13608725
申请日：2012-09-10
申请人： Mitchell Dernis , Tommer Leyvand , Christian Klein , Jinyu Li
发明人： Mitchell Dernis , Tommer Leyvand , Christian Klein , Jinyu Li
IPC分类号： G06K9/00 , G06F17/30 , G10L17/10
CPC分类号： G06K9/00892 , A63F13/213 , A63F13/215 , A63F13/79 , G06F17/30787 , G10L17/10 , G10L2021/02166
摘要： A system and method are disclosed for tracking image and audio data over time to automatically identify a person based on a correlation of their voice with their body in a multi-user game or multimedia setting.
摘要翻译：公开了一种系统和方法，用于随着时间的推移跟踪图像和音频数据，以在多用户游戏或多媒体设置中基于他们的声音与他们的身体的相关性自动识别人。

12. 发明申请

US20120327193A1 VOICE-BODY IDENTITY CORRELATION 有权
标题翻译：语音身体相关性
公开(公告)号：US20120327193A1
公开(公告)日：2012-12-27
申请号：US13608725
申请日：2012-09-10
申请人： Mitchell Dernis , Tommer Leyvand , Christian Klein , Jinyu Li
发明人： Mitchell Dernis , Tommer Leyvand , Christian Klein , Jinyu Li
IPC分类号： H04N13/02 , G10L17/00
CPC分类号： G06K9/00892 , A63F13/213 , A63F13/215 , A63F13/79 , G06F17/30787 , G10L17/10 , G10L2021/02166
摘要： A system and method are disclosed for tracking image and audio data over time to automatically identify a person based on a correlation of their voice with their body in a multi-user game or multimedia setting.
摘要翻译：公开了一种系统和方法，用于随着时间的推移跟踪图像和音频数据，以在多用户游戏或多媒体设置中基于他们的声音与他们的身体的相关性自动识别人。

13. 发明申请

US20110182481A1 VOICE-BODY IDENTITY CORRELATION 有权
标题翻译：语音身体相关性
公开(公告)号：US20110182481A1
公开(公告)日：2011-07-28
申请号：US12692797
申请日：2010-01-25
申请人： Mitchell Dernis , Tommer Leyvand , Christian Klein , Jinyu Li
发明人： Mitchell Dernis , Tommer Leyvand , Christian Klein , Jinyu Li
IPC分类号： G06K9/00 , G10L17/00
CPC分类号： G06K9/00892 , A63F13/213 , A63F13/215 , A63F13/79 , G06F17/30787 , G10L17/10 , G10L2021/02166
摘要： A system and method are disclosed for tracking image and audio data over time to automatically identify a person based on a correlation of their voice with their body in a multi-user game or multimedia setting.
摘要翻译：公开了一种系统和方法，用于随着时间的推移跟踪图像和音频数据，以在多用户游戏或多媒体设置中基于他们的声音与他们的身体的相关性自动识别人。

14. 发明授权

US09280969B2 Model training for automatic speech recognition from imperfect transcription data 有权
标题翻译：从不完美的转录数据自动语音识别的模型训练
公开(公告)号：US09280969B2
公开(公告)日：2016-03-08
申请号：US12482142
申请日：2009-06-10
申请人： Jinyu Li , Yifan Gong , Chaojun Liu , Kaisheng Yao
发明人： Jinyu Li , Yifan Gong , Chaojun Liu , Kaisheng Yao
IPC分类号： G10L15/00 , G10L15/06 , G10L15/065
CPC分类号： G10L15/063 , G10L15/065
摘要： Techniques and systems for training an acoustic model are described. In an embodiment, a technique for training an acoustic model includes dividing a corpus of training data that includes transcription errors into N parts, and on each part, decoding an utterance with an incremental acoustic model and an incremental language model to produce a decoded transcription. The technique may further include inserting silence between a pair of words into the decoded transcription and aligning an original transcription corresponding to the utterance with the decoded transcription according to time for each part. The technique may further include selecting a segment from the utterance having at least Q contiguous matching aligned words, and training the incremental acoustic model with the selected segment. The trained incremental acoustic model may then be used on a subsequent part of the training data. Other embodiments are described and claimed.
摘要翻译：描述了用于训练声学模型的技术和系统。在一个实施例中，用于训练声学模型的技术包括将包括转录错误的训练数据的语料库划分成N个部分，并且在每个部分上，用增量声学模型和增量语言模型解码语音以产生解码的转录。该技术可以进一步包括将一对单词之间的沉默插入解码的转录中，并根据每个部分的时间将与发音对应的原始转录与解码的转录对准。该技术可以进一步包括从具有至少Q个连续匹配对齐字的话语中选择一段，以及使用所选择的段来训练增量声学模型。然后可以在训练数据的后续部分上使用经过训练的增量声学模型。描述和要求保护其他实施例。

15. 发明授权

US08731916B2 Online distorted speech estimation within an unscented transformation framework 有权
标题翻译：一个无限转换框架内的在线扭曲语音估计
公开(公告)号：US08731916B2
公开(公告)日：2014-05-20
申请号：US12948935
申请日：2010-11-18
申请人： Deng Li , Jinyu Li , Dong Yu , Yifan Gong
发明人： Deng Li , Jinyu Li , Dong Yu , Yifan Gong
IPC分类号： G10L21/02
CPC分类号： G10L19/005 , G10L15/20
摘要： Noise and channel distortion parameters in the vectorized logarithmic or the cepstral domain for an utterance may be estimated, and subsequently the distorted speech parameters in the same domain may be updated using an unscented transformation framework during online automatic speech recognition. An utterance, including speech generated from a transmission source for delivery to a receiver, may be received by a computing device. The computing device may execute instructions for applying the unscented transformation framework to speech feature vectors, representative of the speech, in order to estimate, in a sequential or online manner, static noise and channel distortion parameters and dynamic noise distortion parameters in the unscented transformation framework. The static and dynamic parameters for the distorted speech in the utterance may then be updated from clean speech parameters and the noise and channel distortion parameters using non-linear mapping.
摘要翻译：可以估计用于话语的向量化对数或倒频域中的噪声和信道失真参数，并且随后可以在在线自动语音识别期间使用无密码变换框架来更新相同域中的失真语音参数。包括从发送源产生的用于传送到接收机的语音的话语可以被计算设备接收。计算设备可以执行用于将无声变换框架应用于代表语音的语音特征向量的指令，以便以顺序或在线方式估计无密度变换框架中的静态噪声和信道失真参数以及动态噪声失真参数。然后可以使用非线性映射从干净的语音参数和噪声和信道失真参数中更新话音中失真语音的静态和动态参数。

16. 发明授权

US08352241B2 Emulating legacy hardware using IEEE 754 compliant hardware 有权
标题翻译：使用IEEE 754兼容硬件仿真传统硬件
公开(公告)号：US08352241B2
公开(公告)日：2013-01-08
申请号：US12393215
申请日：2009-02-26
申请人： Jinyu Li , Ke Deng , Chen Li
发明人： Jinyu Li , Ke Deng , Chen Li
IPC分类号： G06F9/455
CPC分类号： G06F9/455
摘要： Emulating legacy hardware using IEEE 754 compliant hardware is disclosed herein. In some aspects, the emulation includes locating an instruction that includes NaN (not a number) as at least one of an operand or a resultant. The emulation adjusts the resultant of the instruction, via additional code, to produce a final resultant of non-compliant (legacy) hardware. Legacy software, which was written in anticipation of processing by legacy hardware, may then be processed using compliant hardware.
摘要翻译：本文公开了使用IEEE 754兼容硬件来仿真传统硬件。在一些方面，仿真包括将包括NaN（不是数字）的指令定位为操作数或结果中的至少一个。仿真通过附加代码来调整指令的结果，以产生不符合（遗留）硬件的最终结果。然后可以使用兼容的硬件来处理传统硬件所预期的旧版软件。

17. 发明申请

US20090144059A1 HIGH PERFORMANCE HMM ADAPTATION WITH JOINT COMPENSATION OF ADDITIVE AND CONVOLUTIVE DISTORTIONS 有权
标题翻译：高性能HMM适应与补充和转换失败的联合补偿
公开(公告)号：US20090144059A1
公开(公告)日：2009-06-04
申请号：US11949044
申请日：2007-12-03
申请人： Dong Yu , Li Deng , Alejandro Acero , Yifan Gong , Jinyu Li
发明人： Dong Yu , Li Deng , Alejandro Acero , Yifan Gong , Jinyu Li
IPC分类号： G10L15/14
CPC分类号： G10L15/20 , G10L15/142
摘要： A method of compensating for additive and convolutive distortions applied to a signal indicative of an utterance is discussed. The method includes receiving a signal and initializing noise mean and channel mean vectors. Gaussian dependent matrix and Hidden Markov Model (HMM) parameters are calculated or updated to account for additive noise from the noise mean vector or convolutive distortion from the channel mean vector. The HMM parameters are adapted by decoding the utterance using the previously calculated HMM parameters and adjusting the Gaussian dependent matrix and the HMM parameters based upon data received during the decoding. The adapted HMM parameters are applied to decode the input utterance and provide a transcription of the utterance.
摘要翻译：讨论了补偿施加到表示话语的信号的加法和卷积失真的方法。该方法包括接收信号并初始化噪声平均和信道均值向量。计算或更新高斯依赖矩阵和隐马尔可夫模型（HMM）参数以考虑来自信道平均向量的噪声平均向量或卷积失真的加性噪声。 HMM参数通过使用先前计算出的HMM参数解码话音并根据解码期间接收到的数据调整高斯相关矩阵和HMM参数进行调整。适应的HMM参数被应用于解码输入的话语并提供话语的转录。

18. 发明授权

US08711159B2 VGPU: a real time GPU emulator 有权
标题翻译： VGPU：实时GPU模拟器
公开(公告)号：US08711159B2
公开(公告)日：2014-04-29
申请号：US12391066
申请日：2009-02-23
申请人： Jinyu Li , Chen Li , Gang Chen , Xin Tong
发明人： Jinyu Li , Chen Li , Gang Chen , Xin Tong
IPC分类号： G06T1/00
CPC分类号： G06T1/20
摘要： An exemplary method for emulating a graphics processing unit (GPU) includes executing a graphics application on a host computing system to generate commands for a target GPU wherein the host computing system includes host system memory and a different, host GPU; converting the generated commands into intermediate commands; based on one or more generated commands that call for one or more shaders, caching one or more corresponding shaders in a shader cache in the host system memory; based on one or more generated commands that call for one or more resources, caching one or more corresponding resources in a resource cache in the host system memory; based on the intermediate commands, outputting commands for the host GPU; and based on the output commands for the host GPU, rendering graphics using the host GPU where output commands that call for one or more shaders access the one or more corresponding shaders in the shader cache and where output commands that call for one or more resources access the one or more corresponding resources in the resource cache. Other methods, devices and systems are also disclosed.
摘要翻译：用于模拟图形处理单元（GPU）的示例性方法包括在主计算系统上执行图形应用以生成目标GPU的命令，其中主计算系统包括主机系统存储器和不同的主机GPU; 将生成的命令转换为中间命令; 基于一个或多个生成的命令来调用一个或多个着色器，将一个或多个对应的着色器缓存在所述主机系统存储器中的着色器高速缓存中; 基于调用一个或多个资源的一个或多个生成的命令，高速缓存所述主机系统存储器中的资源高速缓存中的一个或多个相应的资源; 基于中间命令，输出主机GPU的命令; 并且基于用于主机GPU的输出命令，使用主机GPU渲染图形，其中调用一个或多个着色器的输出命令访问着色器高速缓存中的一个或多个对应的着色器，以及其中调用一个或多个资源访问的输出命令资源高速缓存中的一个或多个相应的资源。还公开了其它方法，装置和系统。

19. 发明授权

US08237720B2 Shader-based finite state machine frame detection 有权
标题翻译：基于着色器的有限状态机帧检测
公开(公告)号：US08237720B2
公开(公告)日：2012-08-07
申请号：US12370258
申请日：2009-02-12
申请人： Jinyu Li , Chen Li , Xin Tong
发明人： Jinyu Li , Chen Li , Xin Tong
IPC分类号： G06T15/00
CPC分类号： G06T13/00 , G06T15/005 , G06T2200/28
摘要： Embodiments for shader-based finite state machine frame detection for implementing alternative graphical processing on an animation scenario are disclosed. In accordance with one embodiment, the embodiment includes assigning an identifier to each shader used to render animation scenarios. The embodiment also includes defining a finite state machine for a key frame in each of the animation scenarios, whereby each finite state machine representing a plurality of shaders that renders the key frame in each animation scenario. The embodiment further includes deriving a shader ID sequence for each finite state machine based on the identifier assigned to each shader. The embodiment additionally includes comparing an input shader ID sequence of a new frame of a new animation scenario to each derived shader ID sequences. Finally, the embodiment includes executing alternative graphics processing on the new animation scenario when the input shader ID sequence matches one of the derived shader ID sequences.
摘要翻译：公开了用于在动画场景上实现替代图形处理的基于着色器的有限状态机帧检测的实施例。根据一个实施例，该实施例包括向用于呈现动画场景的每个着色器分配标识符。该实施例还包括为每个动画场景中的关键帧定义有限状态机，由此每个有限状态机表示在每个动画场景中呈现关键帧的多个着色器。该实施例还包括基于分配给每个着色器的标识符为每个有限状态机导出着色器ID序列。该实施例另外包括将新动画场景的新帧的输入着色器ID序列与每个导出的着色器ID序列进行比较。最后，该实施例包括当输入着色器ID序列与派生的着色器ID序列之一匹配时，对新的动画场景执行替代图形处理。

20. 发明申请

US20100214294A1 METHOD FOR TESSELLATION ON GRAPHICS HARDWARE 审中-公开
标题翻译：图形硬件消除方法
公开(公告)号：US20100214294A1
公开(公告)日：2010-08-26
申请号：US12390328
申请日：2009-02-20
申请人： Chen Li , Jinyu Li , Xin Tong
发明人： Chen Li , Jinyu Li , Xin Tong
IPC分类号： G06T15/50
CPC分类号： G06T17/20
摘要： An exemplary method for tessellating a primitive of a graphical object includes receiving information for a primitive of a graphical object where the information includes vertex information and an edge factor for each edge of the primitive; based on the received information, dividing the primitive into parts where each part corresponds to at least a portion of an edge of the primitive and at least one vertex of the primitive and where each part has an association with the edge factor of the corresponding edge; for each of the parts, executing a geometry shader on a graphics processing unit (GPU) where the executing includes determining barycentric coordinates for a respective part based in part on its associated edge factor; for each of the parts, outputting the barycentric coordinates to a vertex buffer; and generating a tessellated mesh for the primitive based on the vertex information and the barycentric coordinates of the vertex buffer where the generating includes invoking a draw function of the GPU. Other methods, devices and systems are also disclosed.
摘要翻译：用于细分图形对象的原语的示例性方法包括：接收关于图形对象的图元的信息，其中所述信息包括所述图元的每个边缘的顶点信息和边缘因子; 基于所接收的信息，将所述原语划分为每个部分对应于所述图元的边缘的至少一部分和所述图元的至少一个顶点并且每个部分与所述对应边缘的边缘因子具有关联的部分; 对于每个部件，在图形处理单元（GPU）上执行几何着色器，其中所述执行包括：部分地基于其相关联的边缘因子来确定相应零件的重心坐标; 对于每个部件，将重心坐标输出到顶点缓冲器; 以及基于所述顶点信息和所述生成的所述顶点缓冲器的所述重心坐标生成包括调用所述GPU的绘图功能的所述基元生成镶嵌网格。还公开了其它方法，装置和系统。

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