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Binaural voice activity detection for MWF-based noise reduction in binaural hearing aids

机译:用于基于MWF的双耳助听器降噪的双耳语音活动检测

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The Speech Distortion Weighted Multichannel Wiener Filter (SDW-MWF) is a powerful multimicrophone noise reduction technique, especially for binaural hearing aids where two devices are connected by a wireless link. As is the case for other single- and multi-microphone techniques, the SDW-MWF relies on a voice activity detection (VAD) algorithm, which classifies frames as noise-only or speech+noise frames. In this paper, two novel binaural fusion VADs are proposed, which are extensions of a fusion VAD originally proposed for a wireless sensor network application. By making use of the exchange of information over the wireless link of the binaural hearing aid, the binaural VADs perform a decision fusion of energy VADs calculated in the left and right device and, if the available bandwidth also allows for transmitting audio signals, a cross-correlation based VAD. The superior performances of the proposed binaural VADs are assessed (in terms of receiver operating characteristics and also by evaluating the impact on the SDW-MWF performance) by experiments with a binaural hearing aid setup.
机译:语音失真加权多通道Wiener滤波器(SDW-MWF)是一种功能强大的多麦克风降噪技术,尤其适用于通过无线链路连接两个设备的双耳助听器。与其他单麦克风和多麦克风技术一样,SDW-MWF依赖于语音活动检测(VAD)算法,该算法将帧分为纯噪声帧或语音+噪声帧。在本文中,提出了两种新颖的双耳融合VAD,它们是最初为无线传感器网络应用提出的融合VAD的扩展。通过利用双耳助听器无线链路上的信息交换,双耳VAD可以对左右设备中计算出的能量VAD进行决策融合,如果可用带宽还允许传输音频信号,则交叉基于相关的VAD。通过双耳助听器设置的实验,可以评估所提出的双耳VAD的优越性能(根据接收器的工作特性,还可以通过评估对SDW-MWF性能的影响)。

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