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    ROBUST AND INVARIANT AUDIO PATTERN MATCHING
    3.
    发明申请
    ROBUST AND INVARIANT AUDIO PATTERN MATCHING 有权
    稳健和不变的音频模式匹配

    公开(公告)号：US20090265174A9

    公开(公告)日：2009-10-22

    申请号：US10978313

    申请日：2004-10-21

    Applicant: Avery Wang ,  Daniel Culbert

    Inventor： Avery Wang ,  Daniel Culbert

    IPC: G10L19/14

    CPC classification number: G06K9/00536 ,  G10H1/00 ,  G10H2240/135 ,  G10H2240/141 ,  G10H2250/235 ,  G10L15/02 ,  G10L15/08 ,  G10L15/10 ,  G10L15/20

    Abstract: The present invention provides an innovative technique for rapidly and accurately determining whether two audio samples match, as well as being immune to various kinds of transformations, such as playback speed variation. The relationship between the two audio samples is characterized by first matching certain fingerprint objects derived from the respective samples. A set (230) of fingerprint objects (231,232), each occurring at a particular location (242), is generated for each audio sample (210). Each location (242) is determined in dependence upon the content of the respective audio sample (210) and each fingerprint object (232) characterizes one or more local features (222) at or near the respective particular location (242). A relative value is next determined for each pair of matched fingerprint objects. A histogram of the relative values is then generated. If a statistically significant peak is found, the two audio samples can be characterized as substantially matching.

    Abstract translation: 本发明提供了一种创新的技术，用于快速准确地确定两个音频样本是否匹配，以及对诸如播放速度变化的各种变换的免疫。 两个音频样本之间的关系的特征在于首先匹配从相应样本导出的某些指纹对象。 为每个音频样本（210）生成每个发生在特定位置（242）的指纹对象（231,232）的集合（230）。 根据相应音频样本（210）的内容确定每个位置（242），并且每个指纹对象（232）在相应的特定位置（242）处或附近表征一个或多个局部特征（222）。 接下来确定每对匹配的指纹对象的相对值。 然后生成相对值的直方图。 如果发现统计学显着的峰值，则可以将两个音频样本表征为基本匹配。

    System and method for dynamic resource management across tasks in real-time operating systems
    4.
    发明授权
    System and method for dynamic resource management across tasks in real-time operating systems 失效
    用于实时操作系统中任务的动态资源管理的系统和方法

    公开(公告)号：US5838968A

    公开(公告)日：1998-11-17

    申请号：US609337

    申请日：1996-03-01

    Applicant: Daniel Culbert

    Inventor： Daniel Culbert

    IPC: G06F9/50 ,  G06F9/00

    CPC classification number: G06F9/5011

    Abstract: A system and method for dynamic resource management across tasks in real-time operating systems is disclosed. The system and method manage an arbitrary set of system resources and globally optimize resource allocation across system tasks in a dynamic fashion, according to a system specified performance model. The present invention provides a mechanism for system programmers to program tasks such that system performance will be globally optimized and dynamically managed over a system programmer-controllable set of system resources. The invention supports a mechanism for defining and managing arbitrary resources through a task resource utilization vector. Each task resource utilization vector contains an arbitrary number of task resource utilization records that contain quantities of system resources that each task qualitatively prefers to utilize while executing on the processor. Each of the task utilization records contains a run level that reflects the associated task's ability to perform its work when allocated the resources according to the particular task resource utilization record. This run level is used to dynamically vary the quantity of system resources that the task has allocated, based on the availability of system resources and the priorities of the tasks.

    Abstract translation: 公开了一种用于实时操作系统中任务的动态资源管理的系统和方法。 系统和方法根据系统指定的性能模型，以动态方式管理任意系统资源集，全局优化跨系统任务的资源分配。 本发明提供了一种用于系统程序员编程任务的机制，使得系统性能将被全局优化并且通过系统编程器可控制的系统资源集合动态管理。 本发明支持通过任务资源利用向量定义和管理任意资源的机制。 每个任务资源利用率向量包含任意数量的任务资源利用率记录，其中包含在处理器上执行时每个任务定性优先使用的系统资源的数量。 每个任务利用记录包含一个运行级别，它反映相关任务根据特定任务资源利用率记录分配资源时执行其工作的能力。 此运行级别用于根据系统资源的可用性和任务的优先级动态地更改任务分配的系统资源的数量。

    Robust and invariant audio pattern matching
    5.
    发明授权
    Robust and invariant audio pattern matching 有权
    稳健和不变的音频模式匹配

    公开(公告)号：US07627477B2

    公开(公告)日：2009-12-01

    申请号：US10978313

    申请日：2004-10-21

    Applicant: Avery Li-Chun Wang ,  Daniel Culbert

    Inventor： Avery Li-Chun Wang ,  Daniel Culbert

    IPC: G10L21/00

    CPC classification number: G06K9/00536 ,  G10H1/00 ,  G10H2240/135 ,  G10H2240/141 ,  G10H2250/235 ,  G10L15/02 ,  G10L15/08 ,  G10L15/10 ,  G10L15/20

    Abstract: The present invention provides an innovative technique for rapidly and accurately determining whether two audio samples match, as well as being immune to various kinds of transformations, such as playback speed variation. The relationship between the two audio samples is characterized by first matching certain fingerprint objects derived from the respective samples. A set (230) of fingerprint objects (231,232), each occurring at a particular location (242), is generated for each audio sample (210). Each location (242) is determined in dependence upon the content of the respective audio sample (210) and each fingerprint object (232) characterizes one or more local features (222) at or near the respective particular location (242). A relative value is next determined for each pair of matched fingerprint objects. A histogram of the relative values is then generated. If a statistically significant peak is found, the two audio samples can be characterized as substantially matching.

    Abstract translation: 本发明提供了一种创新的技术，用于快速准确地确定两个音频样本是否匹配，以及对诸如播放速度变化的各种变换的免疫。 两个音频样本之间的关系的特征在于首先匹配从相应样本导出的某些指纹对象。 为每个音频样本（210）生成每个发生在特定位置（242）的指纹对象（231,232）的集合（230）。 根据相应音频样本（210）的内容确定每个位置（242），并且每个指纹对象（232）在相应的特定位置（242）处或附近表征一个或多个局部特征（222）。 接下来确定每对匹配的指纹对象的相对值。 然后生成相对值的直方图。 如果发现统计学显着的峰值，则可以将两个音频样本表征为基本匹配。

    Robust and invariant audio pattern matching
    7.
    发明申请
    Robust and invariant audio pattern matching 有权
    稳健和不变的音频模式匹配

    公开(公告)号：US20050177372A1

    公开(公告)日：2005-08-11

    申请号：US10978313

    申请日：2004-10-21

    Applicant: Avery Wang ,  Daniel Culbert

    Inventor： Avery Wang ,  Daniel Culbert

    IPC: G06K9/00 ,  G10H1/00 ,  G10L15/02 ,  G10L15/10 ,  G10L15/20 ,  G10L17/00 ,  G10L17/02 ,  G10L25/51 ,  G10L19/14

    CPC classification number: G06K9/00536 ,  G10H1/00 ,  G10H2240/135 ,  G10H2240/141 ,  G10H2250/235 ,  G10L15/02 ,  G10L15/08 ,  G10L15/10 ,  G10L15/20

    Abstract: The present invention provides an innovative technique for rapidly and accurately determining whether two audio samples match, as well as being immune to various kinds of transformations, such as playback speed variation. The relationship between the two audio samples is characterized by first matching certain fingerprint objects derived from the respective samples. A set (230) of fingerprint objects (231,232), each occurring at a particular location (242), is generated for each audio sample (210). Each location (242) is determined in dependence upon the content of the respective audio sample (210) and each fingerprint object (232) characterizes one or more local features (222) at or near the respective particular location (242). A relative value is next determined for each pair of matched fingerprint objects. A histogram of the relative values is then generated. If a statistically significant peak is found, the two audio samples can be characterized as substantially matching.

    Abstract translation: 本发明提供了一种创新的技术，用于快速准确地确定两个音频样本是否匹配，以及对诸如播放速度变化的各种变换的免疫。 两个音频样本之间的关系的特征在于首先匹配从相应样本导出的某些指纹对象。 为每个音频样本（210）生成每个发生在特定位置（242）的指纹对象（231,232）的集合（230）。 根据相应音频样本（210）的内容确定每个位置（242），并且每个指纹对象（232）在相应的特定位置（242）处或附近表征一个或多个局部特征（222）。 接下来确定每对匹配的指纹对象的相对值。 然后生成相对值的直方图。 如果发现统计学显着的峰值，则可以将两个音频样本表征为基本匹配。

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