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    • 4. 发明授权
    • Method and apparatus for gradient-descent based window optimization for linear prediction analysis
    • 用于线性预测分析的梯度下降窗口优化的方法和装置
    • US07231344B2
    • 2007-06-12
    • US10282966
    • 2002-10-29
    • Wai C. Chu
    • Wai C. Chu
    • G10L19/00G10L19/14
    • G10L19/022G10L19/04G10L25/12
    • The shape of windows used during linear predictive analysis can be optimized through the use of gradient-descent based window optimization procedures. Window optimization may be achieved fairly precisely through the use of a primary optimization procedure, or less precisely through the use of an alternate optimization procedure. Both optimization procedures use the principle of gradient-descent to find a window sequence that will either minimize the prediction error energy or maximize the segmental prediction gain. However, the primary optimization procedure uses a Levinson-Durbin based algorithm to determine the gradient while the alternate optimization procedure uses an estimate of the gradient based on the basic definition of a derivative. These optimization procedures can be implemented as computer readable software code. Additionally, the optimization procedures may be implemented in a window optimization device which generally includes a window optimization unit and may also include an interface unit.
    • 在线性预测分析期间使用的窗口形状可以通过使用基于梯度下降的窗口优化程序进行优化。 窗口优化可以通过使用主要优化过程相当精确地实现,或者通过使用替代优化过程不太精确地实现。 两个优化过程都使用梯度下降原理来找到一个窗口序列,它将最小化预测误差能量或最大化分段预测增益。 然而,主要优化过程使用基于Levinson-Durbin的算法来确定梯度,而替代优化过程使用基于导数的基本定义的梯度估计。 这些优化程序可以实现为计算机可读软件代码。 此外,优化过程可以在通常包括窗口优化单元的窗口优化设备中实现,并且还可以包括接口单元。
    • 7. 发明授权
    • Optimized windows and methods therefore for gradient-descent based window optimization for linear prediction analysis in the ITU-T G.723.1 speech coding standard
    • 因此,优化的窗口和方法因此用于ITU-T G.723.1语音编码标准中的线性预测分析的基于梯度下降的窗口优化
    • US07512534B2
    • 2009-03-31
    • US11595415
    • 2006-11-09
    • Wai C. Chu
    • Wai C. Chu
    • G10L19/14G10L19/00
    • G10L19/032G10L19/022G10L19/07
    • Primary and alternate optimization procedures are used to improve the ITU-T G.723.1 speech coding standard (the “Standard”) by replacing the Hamming window of the Standard with an optimized window, with two windows, or with two windows and an additional performance of an autocorrelation method. When two windows replace the Hamming window, at least one of which is an optimized window, generally the first is used to determine optimized unquantized LP coefficients which are used to define an optimized perceptual weighting filter, and the second is used to determine optimized unquantized LP coefficients which are used to determine optimized synthesis coefficients. Optimized windows created using the primary and alternate optimization procedures and used in the Standard yield improvements in the objective and subjective quality of synthesized speech produced by the Standard. The improved Standard, methods, and widow can all be implemented as computer readable software code.
    • 主要和替代优化程序用于通过用优化的窗口替换标准的汉明窗口,具有两个窗口或两个窗口和附加的性能来改进ITU-T G.723.1语音编码标准(“标准”) 的自相关方法。 当两个窗口替换汉明窗口时,其中至少一个是优化的窗口,通常第一个窗口用于确定用于定义优化的感知加权滤波器的优化的无量纲LP系数,第二个用于确定优化的无量纲LP 用于确定优化的合成系数的系数。 使用主要和替代优化程序创建的优化窗口,并在标准中用于标准产生的合成语音的客观和主观质量的改进。 改进的标准,方法和寡妇都可以实现为计算机可读软件代码。
    • 8. 发明授权
    • Sound source locator with distributed microphone array
    • 具有分布式麦克风阵列的声源定位器
    • US09560446B1
    • 2017-01-31
    • US13535135
    • 2012-06-27
    • Samuel Henry ChangWai C. Chu
    • Samuel Henry ChangWai C. Chu
    • G06F17/00H04R3/00
    • H04R3/005H04R1/406H04R2201/403H04R2430/20
    • A sound source locator efficiently employs a distributed physical or logical microphone array to determine a location of a source of a sound. In some instances, the sound source locator is deployed in an augmented reality environment. The sound source locator detects sound at a plurality of microphones, generates a signal corresponding to the sound, and causes attributes of signal as generated at the plurality of microphones to be stored in association with the corresponding microphone. The sound source locator uses these stored attributes to identify multiple groups of the plurality of microphones from which delays between the times the signal is generated can be used to compute the location of the source of the sound.
    • 声源定位器有效地使用分布式物理或逻辑麦克风阵列来确定声源的位置。 在某些情况下,声源定位器部署在增强现实环境中。 声源定位器检测多个麦克风处的声音,产生对应于声音的信号,并且使与多个麦克风相关联地存储在多个麦克风处产生的信号的属性被存储。 声源定位器使用这些存储的属性来识别多个麦克风的多个组,从该信号生成的时间之间的延迟可用于计算声源的位置。
    • 9. 发明授权
    • Image data compression and decompression
    • 图像数据压缩和解压缩
    • US08582906B2
    • 2013-11-12
    • US12716839
    • 2010-03-03
    • Wai C. ChuDavid J. Pattridge
    • Wai C. ChuDavid J. Pattridge
    • G06K9/36G06K9/00
    • G06K9/36
    • Compression and decompression of image data, including a first image of an object. The first image may be divided into portions. For each portion, it may be determined whether the portion includes a part of the object. The image data may be compressed based on said determining. If a threshold ratio of portions that do not include a part of the object is reached, portions including a part of the object may be compressed according to a first compression method and portions not including a part of the object may not be compressed, where background information is stored for the portions not including a part of the object. If the threshold ratio of portions that do not include a part of the object is not reached, each portion of the object may be compressed according to the first compression method. The compressed data may be decompressed in a reverse fashion.
    • 图像数据的压缩和解压缩,包括对象的第一个图像。 第一图像可以被分成几部分。 对于每个部分,可以确定该部分是否包括对象的一部分。 可以基于所述确定来压缩图像数据。 如果到达不包括对象的一部分的部分的阈值比率,则可以根据第一压缩方法来压缩包括对象的一部分的部分,并且不包括对象的一部分的部分可以不被压缩,其中背景 对于不包括对象的一部分的部分存储信息。 如果没有到达不包括对象的一部分的部分的阈值比率,则可以根据第一压缩方法来压缩对象的每个部分。 压缩数据可以以相反的方式解压缩。