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ENHANCED BLIND SOURCE SEPARATION ALGORITHM FOR HIGHLY CORRELATED MIXTURES

机译:高度相关混合物的增强盲源分离算法

摘要

An enhanced blind source separation technique is provided to improve separation of highly correlated signal mixtures. A beamforming algorithm is used to precondition correlated first and second input signals in order to avoid indeterminacy problems typically associated with blind source separation. The beamforming algorithm may apply spatial filters to the first signal and second signal in order to amplify signals from a first direction while attenuating signals from other directions. Such directionality may serve to amplify a desired speech signal in the first signal and attenuate the desired speech signal from the second signal. Blind source separation is then performed on the beamformer output signals to separate the desired speech signal and the ambient noise and reconstruct an estimate of the desired speech signal. To enhance the operation of the beamformer and/or blind source separation, calibration may be performed at one or more stages.
机译:提供了一种增强的盲源分离技术,以改善高度相关的信号混合物的分离。波束成形算法用于对相关的第一和第二输入信号进行预处理,以避免通常与盲源分离相关的不确定性问题。波束成形算法可以将空间滤波器应用于第一信号和第二信号,以便在衰减来自其他方向的信号的同时放大来自第一方向的信号。这种方向性可以用来放大第一信号中的期望语音信号,并从第二信号中衰减期望语音信号。然后,对波束形成器的输出信号进行盲源分离,以分离期望的语音信号和环境噪声,并重建期望的语音信号的估计。为了增强波束形成器的操作和/或盲源分离,可以在一个或多个阶段执行校准。

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