Microphone array method and system, and speech recognition method and system using the same
    1.
    发明申请
    Microphone array method and system, and speech recognition method and system using the same 有权
    麦克风阵列方法和系统,以及语音识别方法和系统使用相同

    公开(公告)号:US20040220800A1

    公开(公告)日:2004-11-04

    申请号:US10836207

    申请日:2004-05-03

    Abstract: A microphone array system including an input unit to receive sound signals using a plurality of microphones; a frequency splitter splitting each sound signal received into a plurality of narrowband signals; an average spatial covariance matrix estimator using spatial smoothing to obtain a spatial covariance matrix for each frequency component of the sound signal, by which spatial covariance matrices for a plurality of virtual sub-arrays, which are configured in the plurality of microphones, are obtained with respect to each frequency component of the sound signal and an average spatial covariance matrix is calculated; a signal source location detector to detect an incidence angle of the sound signal according to the average spatial covariance matrix calculated; a signal distortion compensator to calculates a weight for each frequency component of the sound signal based on the incidence angle of the sound signal and multiply the calculated weight by each frequency component.

    Abstract translation: 一种麦克风阵列系统,包括使用多个麦克风接收声音信号的输入单元; 将接收到的每个声音信号分成多个窄带信号的分频器; 使用空间平滑来获得声音信号的每个频率分量的空间协方差矩阵的平均空间协方差矩阵估计器,通过该平均空间协方差矩阵获得在多个麦克风中配置的多个虚拟子阵列的空间协方差矩阵, 计算声音信号的每个频率分量和平均空间协方差矩阵; 信号源位置检测器,用于根据所计算的平均空间协方差矩阵来检测声音信号的入射角; 信号失真补偿器,用于基于声音信号的入射角来计算声音信号的每个频率分量的权重,并将计算出的权重乘以每个频率分量。

    Method and apparatus for blind source separation using two sensors
    2.
    发明申请
    Method and apparatus for blind source separation using two sensors 有权
    使用两个传感器进行盲源分离的方法和装置

    公开(公告)号:US20040230428A1

    公开(公告)日:2004-11-18

    申请号:US10813671

    申请日:2004-03-31

    Inventor: Chang-kyu Choi

    CPC classification number: G10L25/48 G06K9/6245 G10L21/0208 G10L2021/02165

    Abstract: A method and apparatus to separate first and second mixture signals received from two sensors and transformed into the frequency domain in two or more source signals. The signal separation method includes: calculating a global signal absence probability for each frame and a local signal absence probability for each frequency band of a corresponding frame for at least one of the first and second mixture signals; estimating a spectrum vector for each frequency band in which a noise signal is eliminated using the global signal absence probability; determining a plurality of frequency bands including at least one of a noise signal and a source signal using the local signal absence probability, and generating a source label vector which consists of a plurality of frequency bands assigned to each source, using an attenuation parameter and a delay parameter generated for each of the determined frequency bands; and multiplying the spectrum vector estimated for each frequency band by the source label vector, and obtaining signals separated according to the source signals.

    Abstract translation: 一种分离从两个传感器接收并在两个或更多个源信号中变换成频域的第一和第二混合信号的方法和装置。 信号分离方法包括:针对第一和第二混合信号中的至少一个,计算每帧的全局信号缺失概率和对应帧的每个频带的本地信号缺失概率; 使用全局信号不存在概率来估计其中消除噪声信号的每个频带的频谱矢量; 使用所述本地信号不存在概率来确定包括噪声信号和源信号中的至少一个的多个频带,并且使用衰减参数生成由分配给每个源的多个频带组成的源标签向量 为每个确定的频带产生的延迟参数; 并将每个频带估计的频谱矢量乘以源标号向量,并获得根据源信号分离的信号。

    Microphone array, method and apparatus for forming constant directivity beams using the same, and method and apparatus for estimating acoustic source direction using the same
    3.
    发明申请
    Microphone array, method and apparatus for forming constant directivity beams using the same, and method and apparatus for estimating acoustic source direction using the same 审中-公开
    用于使用其形成恒定方向性光束的麦克风阵列,方法和装置,以及用于使用其来估计声源方向的方法和装置

    公开(公告)号:US20040175006A1

    公开(公告)日:2004-09-09

    申请号:US10793270

    申请日:2004-03-05

    Abstract: A microphone array, beam forming method and apparatus using the microphone array, and a method and apparatus for estimating an acoustic source direction using the microphone array are provided. The apparatus for forming constant directivity beams comprising: a microphone array, which is comprised of first through n-th microphone sub-arrays, wherein each of the microphone sub-arrays comprises: a first microphone placed at a predetermined location on a flat plate, which commonly belongs to each of the microphone sub-arrays; and second and third microphones placed at locations perpendicularly spaced by a predetermined segment from a straight line connecting the first microphone and the center of the flat plate, the predetermined segment being determined depending on a target frequency allotted to reach of the microphone sub-arrays, a beam formation unit receiving voice signals output from the first through n-th microphone sub-arrays and generating a beam for each of the first through n-th microphone sub-arrays; a filtering unit filtering the beams output from the beam formation unit; and an adding unit adding the filtered signals output from the filtering unit.

    Abstract translation: 麦克风阵列,波束形成方法和使用麦克风阵列的装置,以及用于使用麦克风阵列来估计声源方向的方法和装置。 用于形成恒定方向性光束的装置包括:由第一至第n麦克风子阵列组成的麦克风阵列,其中每个麦克风子阵列包括:放置在平板上的预定位置的第一麦克风, 其通常属于每个麦克风子阵列; 以及第二和第三麦克风放置在与连接第一麦克风和平板的中心的直线与预定片段垂直间隔的位置处,该预定片段根据分配给麦克风子阵列的目标频率来确定, 波束形成单元接收从第一至第N麦克风子阵列输出的声音信号,并为第一至第N麦克风子阵列中的每一个生成波束; 滤波单元,滤波从光束形成单元输出的光束; 以及添加单元,将从滤波单元输出的滤波信号相加。

    Method and apparatus of recognizing face using 2nd-order independent component analysis (ICA)/principal component analysis (PCA)
    4.
    发明申请
    Method and apparatus of recognizing face using 2nd-order independent component analysis (ICA)/principal component analysis (PCA) 有权
    使用二阶独立分量分析(ICA)/主成分分析(PCA)识别面部的方法和装置

    公开(公告)号:US20030165260A1

    公开(公告)日:2003-09-04

    申请号:US10377752

    申请日:2003-03-04

    CPC classification number: G06K9/6247 G06F19/00 G06K9/00275 G06K9/6242

    Abstract: A method and apparatus for recognizing and searching for a face using 2nd-order independent component analysis (ICA) are provided. The method includes performing PCA on an input original image and generating a low-pass filtered image by removing high-frequency component from the original image, subtracting the low-pass filtered image from the original image and obtaining residual image having only frequency-components, and performing ICA on the residual image and generating feature information corresponding to the original image. While an original ICA subtracts independent components (i.e., independent basis components) from gray scale images, the proposed 2nd-order ICA is robust to illumination variation since it is applied to make the remaining images correspond to high pass frequency components.

    Abstract translation: 提供了使用二阶独立分量分析(ICA)识别和搜索面部的方法和装置。 该方法包括:在输入的原始图像上执行PCA,并通过从原始图像中去除高频分量来产生低通滤波图像,从原始图像中减去低通滤波图像并获得仅具有频率分量的残差图像, 对剩余图像执行ICA并产生与原始图像相对应的特征信息。 虽然原始ICA从灰度图像中减去独立分量(即独立基础分量),但是所提出的二阶ICA对照明变化是鲁棒的,因为它被应用于使剩余的图像对应于高通频率分量。

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