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1. 发明授权

US09153235B2 Text dependent speaker recognition with long-term feature based on functional data analysis 有权
标题翻译：基于功能数据分析的具有长期特征的文本相关扬声器识别
公开(公告)号：US09153235B2
公开(公告)日：2015-10-06
申请号：US13799647
申请日：2013-03-13
申请人： Chenhao Zhang , Ruxin Chen , Thomas Fang Zheng
发明人： Chenhao Zhang , Ruxin Chen , Thomas Fang Zheng
IPC分类号： G10L17/00 , G10L17/02 , G10L17/08 , G10L17/24
CPC分类号： G10L17/00 , G10L17/02 , G10L17/08 , G10L17/24
摘要： One or more test features are extracted from a time domain signal. The test features are represented by discrete data. The discrete data is represented for each of the one or more test features by a corresponding one or more fitting functions, which are defined in terms of finite number of continuous basis functions and a corresponding finite number of expansion coefficients. Each fitting function is compressed through Functional Principal Component Analysis (FPCA) to generate corresponding sets of principal components. Each principal component for a given test feature is uncorrelated to each other principal component for the given test feature. A distance between a set of principal components for the given test feature and a set of principal components for one or more training features with the processing system is calculated. The test feature is classified according to the distance calculated with the processing system.
摘要翻译：从时域信号中提取一个或多个测试特征。测试特征由离散数据表示。通过相应的一个或多个拟合函数为一个或多个测试特征中的每一个表示离散数据，其根据有限数量的连续基函数和对应的有限数量的扩展系数来定义。每个拟合函数通过功能主成分分析（FPCA）进行压缩，以生成相应的主成分组。给定测试特征的每个主要组件与给定测试特征的每个主要组件不相关。计算给定测试特征的一组主要组件与处理系统的一个或多个训练特征的一组主要组件之间的距离。测试功能根据处理系统计算的距离进行分类。

2. 发明授权

US08880395B2 Source separation by independent component analysis in conjunction with source direction information 有权
标题翻译：源分离与独立成分分析结合源方向信息
公开(公告)号：US08880395B2
公开(公告)日：2014-11-04
申请号：US13464828
申请日：2012-05-04
申请人： Jaekwon Yoo , Ruxin Chen
发明人： Jaekwon Yoo , Ruxin Chen
IPC分类号： G10L21/00
CPC分类号： G10L21/0272
摘要： Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract source signals from mixtures of source signals by way of independent component analysis. Source direction information is utilized in the separation process, and independent component analysis techniques described herein use multivariate probability density functions to preserve the alignment of frequency bins in the source separation process. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.
摘要翻译：公开了用于信号处理的方法和装置。可以通过独立分量分析来执行源分离以从源信号的混合中提取源信号。在分离过程中使用源方向信息，并且本文描述的独立分量分析技术使用多变量概率密度函数来保持源分离过程中频率仓的对准。要强调的是，该摘要被提供以符合要求抽象的规则，允许搜索者或其他读者快速确定技术公开内容的主题。提交它的理解是，它不会用于解释或限制权利要求的范围或含义。

3. 发明申请

US20140237277A1 HYBRID PERFORMANCE SCALING OR SPEECH RECOGNITION 有权
标题翻译：混合性能缩放或语音识别
公开(公告)号：US20140237277A1
公开(公告)日：2014-08-21
申请号：US13791716
申请日：2013-03-08
申请人： Dominic S. Mallinson , Ruxin Chen
发明人： Dominic S. Mallinson , Ruxin Chen
IPC分类号： G06F1/32
CPC分类号： G06F1/3206 , G06F1/3203 , G06F1/3231 , G06F1/3293 , G06F3/017 , G10L15/22 , G10L25/78 , Y02D10/122 , Y02D10/173
摘要： Aspects of the present disclosure describe methods and apparatuses for executing operations on a client device platform that is operating in a low-power state. A first analysis may be used to assign a first confidence score to a recorded non-tactile input. When the first confidence score is above a first threshold an intermediate-power state may be activated. A second more detailed analysis may then assign a second confidence score to the non-tactile input. When the second confidence score is above a second threshold, then the operation is initiated. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.
摘要翻译：本公开的方面描述了在以低功率状态运行的客户端设备平台上执行操作的方法和装置。可以使用第一分析来将第一置信度分数分配给记录的非触觉输入。当第一置信度高于第一阈值时，可以激活中间功率状态。然后，第二更详细的分析可以向非触觉输入分配第二置信度分数。当第二置信度分数高于第二阈值时，开始该操作。要强调的是，该摘要被提供以符合要求抽象的规则，允许搜索者或其他读者快速确定技术公开内容的主题。提交它的理解是，它不会用于解释或限制权利要求的范围或含义。

4. 发明授权

US08756061B2 Speech syllable/vowel/phone boundary detection using auditory attention cues 有权
标题翻译：语音音节/元音/电话边界检测使用听觉注意线索
公开(公告)号：US08756061B2
公开(公告)日：2014-06-17
申请号：US13078866
申请日：2011-04-01
申请人： Ozlem Kalinli , Ruxin Chen
发明人： Ozlem Kalinli , Ruxin Chen
IPC分类号： G10L15/04
CPC分类号： G10L15/05 , G10L15/04 , G10L15/16 , G10L15/24 , G10L15/34 , G10L25/03
摘要： In syllable or vowel or phone boundary detection during speech, an auditory spectrum may be determined for an input window of sound and one or more multi-scale features may be extracted from the auditory spectrum. Each multi-scale feature can be extracted using a separate two-dimensional spectro-temporal receptive filter. One or more feature maps corresponding to the one or more multi-scale features can be generated and an auditory gist vector can be extracted from each of the one or more feature maps. A cumulative gist vector may be obtained through augmentation of each auditory gist vector extracted from the one or more feature maps. One or more syllable or vowel or phone boundaries in the input window of sound can be detected by mapping the cumulative gist vector to one or more syllable or vowel or phone boundary characteristics using a machine learning algorithm.
摘要翻译：在语音期间的音节或元音或电话边界检测中，可以为输入声音窗口确定听觉频谱，并且可以从听觉谱中提取一个或多个多尺度特征。可以使用单独的二维光谱接收滤波器来提取每个多尺度特征。可以生成与一个或多个多尺度特征相对应的一个或多个特征图，并且可以从一个或多个特征图中的每一个提取听觉要点矢量。可以通过增加从一个或多个特征图提取的每个听觉要素矢量来获得累积的要点向量。通过使用机器学习算法将累积的要点向量映射到一个或多个音节或元音或电话边界特征，可以检测声音的输入窗口中的一个或多个音节或元音或电话边界。

5. 发明授权

US08442833B2 Speech processing with source location estimation using signals from two or more microphones 有权
标题翻译：使用来自两个或多个麦克风的信号进行源位置估计的语音处理
公开(公告)号：US08442833B2
公开(公告)日：2013-05-14
申请号：US12698920
申请日：2010-02-02
申请人： Ruxin Chen
发明人： Ruxin Chen
IPC分类号： G10L21/00
CPC分类号： G10L25/78 , G10L2015/025 , G10L2021/02165
摘要： Computer implemented speech processing is disclosed. First and second voice segments are extracted from first and second microphone signals originating from first and second microphones. The first and second voice segments correspond to a voice sound originating from a common source. An estimated source location is generated based on a relative energy of the first and second voice segments and/or a correlation of the first and second voice segments. A determination whether the voice segment is desired or undesired may be made based on the estimated source location.
摘要翻译：公开了计算机实现的语音处理。从第一和第二麦克风产生的第一麦克风信号和第二麦克风信号中提取第一和第二语音段。第一和第二语音段对应于源自公共源的语音。基于第一和第二语音段的相对能量和/或第一和第二语音段的相关性来生成估计的源位置。可以基于估计的源位置来确定语音段是否是期望的还是不期望的。

6. 发明申请

US20120295708A1 Interface with Gaze Detection and Voice Input 有权
标题翻译：与凝视检测和语音输入接口
公开(公告)号：US20120295708A1
公开(公告)日：2012-11-22
申请号：US13110817
申请日：2011-05-18
申请人： Gustavo A. Hernandez-Abrego , Steven Osman , Anton Mikhailov , Ruxin Chen
发明人： Gustavo A. Hernandez-Abrego , Steven Osman , Anton Mikhailov , Ruxin Chen
IPC分类号： A63F9/24 , G09G5/00
CPC分类号： A63F13/424 , A63F13/10 , A63F13/213 , A63F13/215 , A63F13/655 , A63F2300/1081 , A63F2300/1087 , A63F2300/308 , A63F2300/6045 , A63F2300/695 , B60K37/06 , B60K2350/1044 , B60K2350/1052 , G06F3/013 , G06F3/04842 , G06F3/167 , G06F2203/0381 , G10L15/26 , H04M3/567
摘要： Methods, computer programs, and systems for interfacing a user with a computer program, utilizing gaze detection and voice recognition, are provided. One method includes an operation for determining if a gaze of a user is directed towards a target associated with the computer program. The computer program is set to operate in a first state when the gaze is determined to be on the target, and set to operate in a second state when the gaze is determined to be away from the target. When operating in the first state, the computer program processes voice commands from the user, and, when operating in the second state, the computer program omits processing of voice commands.
摘要翻译：提供了使用注视检测和语音识别的用于将用户与计算机程序接口的方法，计算机程序和系统。一种方法包括用于确定用户的凝视是否指向与计算机程序相关联的目标的操作。当注视被确定为目标时，将计算机程序设置为处于第一状态，并且当确定目标被确定为远离目标时，将其设置为在第二状态下操作。当在第一状态下操作时，计算机程序处理来自用户的语音命令，并且当在第二状态下操作时，计算机程序省略语音命令的处理。

7. 发明申请

US20120259554A1 TONGUE TRACKING INTERFACE APPARATUS AND METHOD FOR CONTROLLING A COMPUTER PROGRAM 审中-公开
标题翻译： TONGUE跟踪接口设备和控制计算机程序的方法
公开(公告)号：US20120259554A1
公开(公告)日：2012-10-11
申请号：US13083260
申请日：2011-04-08
申请人： Ruxin Chen , Ozlem Kalinli
发明人： Ruxin Chen , Ozlem Kalinli
IPC分类号： G06F19/00
CPC分类号： G06F3/011 , A61F4/00
摘要： A tongue tracking interface apparatus for control of a computer program may include a mouthpiece configured to be worn over one or more teeth of a user of the computer program. The mouthpiece can include one or more sensors configured to determine one or more tongue orientation characteristics of the user. Other sensors such as microphones, pressure sensors, etc. located around the head, face, and neck, can also be used for determining tongue orientation characteristics.
摘要翻译：用于控制计算机程序的舌跟踪界面装置可以包括被配置为佩戴在计算机程序的用户的一个或多个齿上的接口管。接口管可以包括配置成确定用户的一个或多个舌取向特性的一个或多个传感器。位于头部，面部和颈部周围的诸如麦克风，压力传感器等的其它传感器也可以用于确定舌头取向特性。

8. 发明申请

US20120253812A1 SPEECH SYLLABLE/VOWEL/PHONE BOUNDARY DETECTION USING AUDITORY ATTENTION CUES 有权
标题翻译：使用审计注意事项的语音可以/ VOWEL /电话边界检测
公开(公告)号：US20120253812A1
公开(公告)日：2012-10-04
申请号：US13078866
申请日：2011-04-01
申请人： OZLEM KALINLI , Ruxin Chen
发明人： OZLEM KALINLI , Ruxin Chen
IPC分类号： G10L15/04
CPC分类号： G10L15/05 , G10L15/04 , G10L15/16 , G10L15/24 , G10L15/34 , G10L25/03
摘要： In syllable or vowel or phone boundary detection during speech, an auditory spectrum may be determined for an input window of sound and one or more multi-scale features may be extracted from the auditory spectrum. Each multi-scale feature can be extracted using a separate two-dimensional spectro-temporal receptive filter. One or more feature maps corresponding to the one or more multi-scale features can be generated and an auditory gist vector can be extracted from each of the one or more feature maps. A cumulative gist vector may be obtained through augmentation of each auditory gist vector extracted from the one or more feature maps. One or more syllable or vowel or phone boundaries in the input window of sound can be detected by mapping the cumulative gist vector to one or more syllable or vowel or phone boundary characteristics using a machine learning algorithm.
摘要翻译：在语音期间的音节或元音或电话边界检测中，可以为输入声音窗口确定听觉频谱，并且可以从听觉谱中提取一个或多个多尺度特征。可以使用单独的二维光谱接收滤波器来提取每个多尺度特征。可以生成与一个或多个多尺度特征相对应的一个或多个特征图，并且可以从一个或多个特征图中的每一个提取听觉要点矢量。可以通过增加从一个或多个特征图提取的每个听觉要素矢量来获得累积的要点向量。通过使用机器学习算法将累积的要点向量映射到一个或多个音节或元音或电话边界特征，可以检测声音的输入窗口中的一个或多个音节或元音或电话边界。

9. 发明授权

US08190433B2 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：US08190433B2
公开(公告)日：2012-05-29
申请号：US13031104
申请日：2011-02-18
申请人： Gustavo Hernandez Abrego , Ruxin Chen
发明人： Gustavo Hernandez Abrego , Ruxin Chen
IPC分类号： G10L15/18
CPC分类号： G10L15/193 , G10L15/285
摘要： A speech recognition engine is provided with an acoustic model and a layered grammar and dictionary library. The layered grammar and dictionary library includes a language and non-grammar layer that supplies types of rules a grammar definition layer can use and defines non-grammar the speech recognition engine should ignore. The layered grammar and dictionary library also includes a dictionary layer that defines phonetic transcriptions for word groups the speech recognition engine is meant to recognize when voice input is received. The layered grammar and dictionary library further includes a grammar definition layer that applies rules from the language and non-grammar layer to define combinations of word groups the speech recognition system is meant to recognize. Voice input is received at a speech recognition engine and is processed using the acoustic model and the layered grammar and dictionary library.
摘要翻译：语音识别引擎设有声学模型和分层语法和字典库。分层语法和字典库包括语言和非语法层，提供语法定义层可以使用的规则类型，并定义语音识别引擎应忽略的非语法。分层语法和字典库还包括字典层，其定义语音识别引擎在接收到语音输入时识别的单词组的语音转录。分层语法和字典库还包括语法定义层，其应用语言和非语法层的规则来定义语音识别系统意图识别的单词组的组合。在语音识别引擎处接收语音输入，并使用声学模型和分层语法和字典库进行处理。

10. 发明授权

US08010358B2 Voice recognition with parallel gender and age normalization 有权
标题翻译：语音识别与并行性别和年龄归一化
公开(公告)号：US08010358B2
公开(公告)日：2011-08-30
申请号：US11358272
申请日：2006-02-21
申请人： Ruxin Chen
发明人： Ruxin Chen
IPC分类号： G10L17/00 , G10L15/28 , G10L15/14
CPC分类号： G10L15/32 , G10L15/065
摘要： Methods and apparatus for voice recognition are disclosed. A voice signal is obtained and two or more voice recognition analyses are performed on the voice signal. Each voice recognition analysis uses a filter bank defined by a different maximum frequency and a different minimum frequency and wherein each voice recognition analysis produces a recognition probability ri of recognition of one or more speech units, whereby there are two or more recognition probabilities ri. The maximum frequency and the minimum frequency may be adjusted every time speech is windowed and analyzed. A final recognition probability Pf is determined based on the two or more recognition probabilities ri.
摘要翻译：公开了用于语音识别的方法和装置。获得语音信号，并对语音信号执行两个或多个语音识别分析。每个语音识别分析使用由不同的最大频率和不同的最小频率定义的滤波器组，并且其中每个语音识别分析产生识别一个或多个语音单元的识别概率ri，由此存在两个或更多个识别概率ri。可以在每次打开和分析语音时调整最大频率和最小频率。基于两个以上的识别概率ri来确定最终识别概率Pf。

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