SYSTEMS AND METHODS FOR SEGMENTING AND/OR CLASSIFYING AN AUDIO SIGNAL FROM TRANSFORMED AUDIO INFORMATION
    2.
    发明申请
    SYSTEMS AND METHODS FOR SEGMENTING AND/OR CLASSIFYING AN AUDIO SIGNAL FROM TRANSFORMED AUDIO INFORMATION 审中-公开
    用于从改变的音频信息分类和/或分类音频信号的系统和方法

    公开(公告)号:WO2012129255A2

    公开(公告)日:2012-09-27

    申请号:PCT/US2012/029863

    申请日:2012-03-21

    Abstract: A system and method may be provided to segment and/or classify an audio signal from transformed audio information. Transformed audio information representing a sound may be obtained. The transformed audio information may specify magnitude of a coefficient related to energy amplitude as a function of frequency for the audio signal and time. Features associated with the audio signal may be obtained from the transformed audio information. Individual ones of the features may be associated with a feature score relative to a predetermined speaker model. An aggregate score may be obtained based on the feature scores according to a weighting scheme. The weighting scheme may be associated with a noise and/or SNR estimation. The aggregate score may be used for segmentation to identify portions of the audio signal containing speech of one or more different speakers. For classification, the aggregate score may be used to determine a likely speaker model to identify a source of the sound in the audio signal.

    Abstract translation: 可以提供一种系统和方法来从经变换的音频信息中分割和/或分类音频信号。 可以获得表示声音的变换音频信息。 变换的音频信息可以指定与能量幅度相关的系数的幅度作为音频信号和时间的频率的函数。 可以从变换的音频信息获得与音频信号相关联的特征。 各个特征可以与相对于预定扬声器模型的特征得分相关联。 可以根据加权方案基于特征得分获得总分。 加权方案可以与噪声和/或SNR估计相关联。 聚合分数可以用于分割以识别包含一个或多个不同说话者的语音的音频信号的部分。 对于分类,总分可用于确定可能的扬声器模型以识别音频信号中的声音源。

    CONSTANT MEMORY IMPLEMENTATION OF A PHASE-MODEL NEURAL NETWORK
    3.
    发明申请
    CONSTANT MEMORY IMPLEMENTATION OF A PHASE-MODEL NEURAL NETWORK 审中-公开
    相位模型神经网络的恒定记忆体实现

    公开(公告)号:WO2011008973A2

    公开(公告)日:2011-01-20

    申请号:PCT/US2010/042160

    申请日:2010-07-15

    Inventor: LEWI, Jeremy, M.

    CPC classification number: G06N3/10

    Abstract: Disclosed are systems, apparatuses, and methods for implementing a phase- model neural network using a fixed amount of memory. Such a phase-model neural network includes a plurality of neurons, wherein each neuron is associated with two parameters — an activity and a phase. Example methods include (i) generating a sequence of variables associated with a probability distribution of phases and (ii) sequentially sampling the probability distribution of phases using a fixed amount of memory, regardless of a number of phases used in the phase-model neural network.

    Abstract translation: 公开了使用固定量的存储器来实现相位模型神经网络的系统,装置和方法。 这样的相位模型神经网络包括多个神经元,其中每个神经元与两个参数 - 活动和相位相关联。 示例性方法包括(i)生成与相位的概率分布相关联的变量序列,以及(ii)使用固定量的存储器来顺序地采样相位的概率分布,而不管相位模型神经网络中使用的相位数 。

    MAPPING PROCESSES TO PROCESSORS IN A NETWORK ON A CHIP COMPUTING SYSTEM
    4.
    发明申请
    MAPPING PROCESSES TO PROCESSORS IN A NETWORK ON A CHIP COMPUTING SYSTEM 审中-公开
    在芯片计算系统中的网络中的处理器的映射处理

    公开(公告)号:WO2016123184A1

    公开(公告)日:2016-08-04

    申请号:PCT/US2016/015064

    申请日:2016-01-27

    Abstract: Systems and methods may be provided to execute a plurality of computation tasks across a plurality of computing resources of a computing system. In one aspect, a computer implemented method may execute a software application comprising a plurality of tasks on a computing system. The method may comprise loading the software application into the computing system, assigning the plurality of tasks to a plurality of computing resources of the computing system according to a first assignment, executing the plurality of tasks on the plurality of computing resources according to the first assignment. Each processing resource may be configured to generate and collect system activity monitoring (SAM) data. The method may further comprise collecting the SAM data from the plurality of processing resources, performing an analysis of the first assignment based on the collected SAM data and determining an adjustment to the first assignment based on the analysis.

    Abstract translation: 可以提供系统和方法来跨计算系统的多个计算资源执行多个计算任务。 一方面,计算机实现的方法可以在计算系统上执行包括多个任务的软件应用。 该方法可以包括将软件应用程序加载到计算系统中,根据第一指派将多个任务分配给计算系统的多个计算资源,根据第一指派执行多个计算资源上的多个任务, 。 每个处理资源可以被配置为生成和收集系统活动监视(SAM)数据。 该方法还可以包括从多个处理资源收集SAM数据,基于所收集的SAM数据执行第一指派的分析,并且基于分析确定对第一指配的调整。

    SMART MEMORY
    7.
    发明申请
    SMART MEMORY 审中-公开

    公开(公告)号:WO2014089259A1

    公开(公告)日:2014-06-12

    申请号:PCT/US2013/073215

    申请日:2013-12-05

    CPC classification number: H04L49/90 H04L45/60

    Abstract: Systems and methods to process packets of information using an on-chip processing system include a memory bank, an interconnect module, a controller, and one or more processing engines. The packets of information include a packet header and a packet payload. The packet header includes one or more operator codes. The transfer of individual packets is guided to a processing engine through the interconnect module and through the controller by operator codes included in the packets.

    Abstract translation: 使用片上处理系统来处理信息包的系统和方法包括存储体,互连模块,控制器和一个或多个处理引擎。 信息包包括分组报头和分组有效载荷。 分组报头包括一个或多个操作代码。 单个分组的传送通过互连模块被引导到处理引擎,并且通过包括在分组中的操作员代码通过控制器。

    SYSTEMS AND METHODS FOR PACKET ROUTING
    9.
    发明申请
    SYSTEMS AND METHODS FOR PACKET ROUTING 审中-公开
    分组路由的系统和方法

    公开(公告)号:WO2014116907A1

    公开(公告)日:2014-07-31

    申请号:PCT/US2014/012881

    申请日:2014-01-24

    CPC classification number: H04L45/74 H04L69/22

    Abstract: Systems and methods to route packets of information within an integrated circuit, across one or more boards, racks, blades, and/or chassis, and/or across a connected network of packet processing engines include various modes of operation. Packets are routed to their destination, for example an individual packet processing engine. The packets of information include address-mode indicators, one or more destination port indicators, and/or (long-distance) addresses.

    Abstract translation: 在集成电路内跨越一个或多个电路板,机架,刀片和/或机箱以及/或跨连接的分组处理引擎的网络路由信息包的系统和方法包括各种操作模式。 分组路由到其目的地,例如单个分组处理引擎。 信息包包括地址模式指示符,一个或多个目标端口指示符和/或(远距离)地址。

    SYSTEM AND METHOD FOR ANALYZING AUDIO INFORMATION TO DETERMINE PITCH AND/OR FRACTIONAL CHIRP RATE
    10.
    发明申请
    SYSTEM AND METHOD FOR ANALYZING AUDIO INFORMATION TO DETERMINE PITCH AND/OR FRACTIONAL CHIRP RATE 审中-公开
    用于分析音频信息以确定琵琶和/或分数P率的系统和方法

    公开(公告)号:WO2013022914A1

    公开(公告)日:2013-02-14

    申请号:PCT/US2012/049901

    申请日:2012-08-08

    CPC classification number: G10L25/90

    Abstract: A system and method may be configured to analyze audio information. The system and method may include determining for an audio signal, an estimated pitch of a sound represented in the audio signal, an estimated chirp rate (or fractional chirp rate) of a sound represented in the audio signal, and/or other parameters of sound(s) represented in the audio signal. The one or more parameters may be determined through analysis of transformed audio information derived from the audio signal {e.g., through Fourier Transform, Fast Fourier Transform, Short Time Fourier Transform, Spectral Motion Transform, and/or other transforms). Statistical analysis may be implemented to determine metrics related to the likelihood that a sound represented in the audio signal has a pitch and/or chirp rate (or fractional chirp rate). Such metrics may be implemented to determine an estimated pitch and/or fractional chirp rate.

    Abstract translation: 系统和方法可以被配置为分析音频信息。 系统和方法可以包括确定音频信号,音频信号中表示的声音的估计音调,在音频信号中表示的声音的估计啁啾率(或分数啁啾率)和/或其它声音参数 (s)表示在音频信号中。 可以通过分析从音频信号(例如,通过傅里叶变换,快速傅里叶变换,短时傅里叶变换,频谱运动变换和/或其他变换)导出的变换音频信息来确定一个或多个参数。 可以实现统计分析以确定与音频信号中表示的声音具有音高和/或啁啾率(或分数啁啾率)的可能性相关的度量。 可以实现这样的度量以确定估计的音调和/或分数啁啾率。

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