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    • 3. 发明授权
    • Method and system for robust pattern matching in continuous speech for spotting a keyword of interest using orthogonal matching pursuit
    • 用于连续语音中鲁棒模式匹配的方法和系统,用于使用正交匹配追踪来发现感兴趣的关键词
    • US09293130B2
    • 2016-03-22
    • US12114128
    • 2008-05-02
    • Lisa AminiPascal FrossardEffrosyni KokiopoulouOliver Verscheure
    • Lisa AminiPascal FrossardEffrosyni KokiopoulouOliver Verscheure
    • G10L15/00G10L15/04G10L15/02G10L15/22
    • G10L15/02G10L15/22
    • A method for speech recognition, the method includes: extracting time-frequency speech features from a series of reference speech elements in a first series of sampling windows; aligning reference speech elements that are not of equal time span duration; constructing a common subspace for the aligned speech features; determining a first set of coefficient vectors; extracting a time-frequency feature image from a test speech stream spanned by a second sampling window; approximating the extracted image in the common subspace for the aligned extracted time-frequency speech features with a second coefficient vector; computing a similarity measure between the first and the second coefficient vector; determining if the similarity measure is below a predefined threshold; and wherein a match between the reference speech elements and a portion of the test speech stream is made in response to a similarity measure below a predefined threshold. The said reference speech elements correspond to a keyword of interest, wherein Simultaneous Orthogonal Matching Pursuit (SOMP) is used in their alignment.
    • 一种用于语音识别的方法,所述方法包括:在第一系列采样窗口中从一系列参考语音元素中提取时频语音特征; 对齐不等于时间跨度持续时间的参考语音元素; 为对齐的语音特征构建公共子空间; 确定第一组系数向量; 从由第二采样窗口跨越的测试语音流提取时频特征图像; 用第二系数向量逼近用于对齐提取的时频语音特征的公共子空间中的提取图像; 计算第一和第二系数向量之间的相似性度量; 确定相似性度量是否低于预定阈值; 并且其中响应于低于预定义阈值的相似性度量,在所述参考语音元素与所述测试语音流的一部分之间进行匹配。 所述参考语音元素对应于感兴趣的关键词,其中在对齐中使用同时正交匹配追踪(SOMP)。
    • 4. 发明申请
    • METHOD AND SYSTEM FOR ROBUST PATTERN MATCHING IN CONTINUOUS SPEECH
    • 连续语音中鲁棒模式匹配的方法和系统
    • US20090276216A1
    • 2009-11-05
    • US12114128
    • 2008-05-02
    • Lisa AminiPascal FrossardEffrosyni KokiopoulouOliver Verscheure
    • Lisa AminiPascal FrossardEffrosyni KokiopoulouOliver Verscheure
    • G10L15/00
    • G10L15/02G10L15/22
    • A method for speech recognition, the method includes: extracting time—frequency speech features from a series of reference speech elements in a first series of sampling windows; aligning reference speech elements that are not of equal time span duration; constructing a common subspace for the aligned speech features; determining a first set of coefficient vectors; extracting a time—frequency feature image from a test speech stream spanned by a second sampling window; approximating the extracted image in the common subspace for the aligned extracted time—frequency speech features with a second coefficient vector; computing a similarity measure between the first and the second coefficient vector; determining if the similarity measure is below a predefined threshold; and wherein a match between the reference speech elements and a portion of the test speech stream is made in response to a similarity measure below a predefined threshold.
    • 一种用于语音识别的方法,所述方法包括:在第一系列采样窗口中从一系列参考语音元素中提取时频语音特征; 对齐不等于时间跨度持续时间的参考语音元素; 为对齐的语音特征构建公共子空间; 确定第一组系数向量; 从由第二采样窗口跨越的测试语音流提取时频特征图像; 用第二系数向量逼近用于对齐提取的时频语音特征的公共子空间中的提取图像; 计算第一和第二系数向量之间的相似性度量; 确定相似性度量是否低于预定阈值; 并且其中响应于低于预定义阈值的相似性度量,在所述参考语音元素与所述测试语音流的一部分之间进行匹配。
    • 5. 发明授权
    • Dynamically composing data stream processing applications
    • 动态组合数据流处理应用程序
    • US08286191B2
    • 2012-10-09
    • US12465910
    • 2009-05-14
    • Lisa AminiHenrique AndradeBugra GedikNagui HalimSrinivasan Parthasarathy
    • Lisa AminiHenrique AndradeBugra GedikNagui HalimSrinivasan Parthasarathy
    • G06F13/00
    • G06F9/544
    • Techniques for dynamically modifying inter-connections between components in an application are provided. The techniques include receiving a data producer profile for each output port within a software application to be executed on one or more processors, receiving a data subscription profile for each input port of each component of the application, establishing connections between the output ports and the input ports of the components in the application based on a comparison of each data producer profile and each data subscription profile, executing the application on one or more processors to process streams of data, receiving either or both of a new data producer profile or a new data subscription profile during the execution of the application, and establishing at least one new connection between an output port and an input port based upon a revised comparison of the received data profiles that include the new data profile.
    • 提供了用于动态修改应用程序中组件之间的连接的技术。 这些技术包括:接收用于在一个或多个处理器上执行的软件应用中的每个输出端口的数据生成器简档,为应用的每个组件的每个输入端口接收数据订阅简档,在输出端口和输入端之间建立连接 基于每个数据生成器简档和每个数据订阅简档的比较来应用中的组件的端口,在一个或多个处理器上执行应用程序来处理数据流,接收新的数据生成器简档或新数据中的一个或两个 在执行应用期间的订阅简档,以及基于对包括新数据简档的所接收的数据简档进行修改的比较,在输出端口和输入端口之间建立至少一个新的连接。
    • 9. 发明申请
    • METHOD AND SYSTEM FOR PREDICTING RESOURCE USAGE OF REUSABLE STREAM PROCESSING ELEMENTS
    • 用于预测资源使用可回收流程处理元素的方法和系统
    • US20090119238A1
    • 2009-05-07
    • US11935079
    • 2007-11-05
    • Lisa AminiHenrique AndradeWei FanJames R. GilesKirsten W. HildrumDeepak RajanDeepak S. TuragaRohit WagleJoel L. WolfPhilip S. Yu
    • Lisa AminiHenrique AndradeWei FanJames R. GilesKirsten W. HildrumDeepak RajanDeepak S. TuragaRohit WagleJoel L. WolfPhilip S. Yu
    • G06N5/04
    • G06N99/005
    • A method is provided for generating a resource function estimate of resource usage by an instance of a processing element configured to consume zero or more input data streams in a stream processing system having a set of available resources that comprises receiving at least one specified performance metric for the zero or more input data streams and a processing power of the set of available resources, wherein one specified performance metric is stream rate; generating a multi-part signature of executable-specific information for the processing element and a multi-part signature of context-specific information for the instance; accessing a database of resource functions to identify a static resource function corresponding to the executable-specific information and a context-dependent resource function corresponding to the context-specific information; combining the static resource function and the context-dependent resource function to form a composite resource function for the instance; and applying the resource function to the at least one specified performance metric and the processing power to generate the resource function estimate of the at least one specified performance metric for processing by the instance.
    • 提供了一种用于通过被配置为在具有一组可用资源的流处理系统中消耗零个或多个输入数据流的处理元件的实例来生成资源使用的资源功能估计的方法,所述流处理系统包括:一组可用资源,其包括接收至少一个指定的性能度量 零个或多个输入数据流和可用资源集合的处理能力,其中一个指定的性能度量是流速率; 生成用于处理元件的可执行特定信息的多部分签名和该实例的上下文特定信息的多部分签名; 访问资源功能的数据库以识别与所述可执行特定信息相对应的静态资源功能以及与所述上下文特定信息相对应的与上下文相关的资源功能; 结合静态资源功能和上下文相关资源功能,形成实例的复合资源功能; 以及将所述资源功能应用于所述至少一个指定的性能度量和所述处理能力以生成所述至少一个指定的性能度量的所述资源功能估计,以供所述实例处理。