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Beamformer system for tracking of speech and noise in a dynamic environment

机译:用于在动态环境中跟踪语音和噪声的Beamformer系统

摘要

Techniques are provided for QR Decomposition (QRD) based minimum variance distortionless response (MVDR) adaptive beamforming. A methodology implementing the techniques according to an embodiment includes receiving signals from microphone array, identifying signal segments that include a combination of speech and noise, and identifying signal segments that include noise in the absence of speech. The method also includes calculating a QRD and an inverse QRD (IQRD) of the spatial covariance of the noise components. The method further includes estimating a relative transfer function (RTF) associated with the source of the speech, based on the noisy speech signal segments, the QRD, and the IQRD. The method further includes estimating a multichannel speech-presence-probability (SPP) on whitened input signals based on the IQRD. The method further includes calculating beamforming weights, for the microphone array, based on the RTF and the IQRD, to steer a beam in the direction associated with the speech source.
机译:提供了用于基于QR分解(QRD)的最小方差无失真响应(MVDR)自适应波束形成的技术。实现根据实施例的技术的方法包括:从麦克风阵列接收信号;识别包括语音和噪声的组合的信号段;以及识别在没有语音的情况下包括噪声的信号段。该方法还包括计算噪声分量的空间协方差的QRD和逆QRD(IQRD)。该方法还包括基于嘈杂的语音信号段,QRD和IQRD来估计与语音源相关联的相对传递函数(RTF)。该方法进一步包括基于IQRD估计在白化的输入信号上的多通道语音存在概率(SPP)。该方法进一步包括基于RTF和IQRD为麦克风阵列计算波束成形权重,以在与语音源相关联的方向上引导波束。

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