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Binaural Direct-to-Reverberant Energy Ratio and Speaker Distance Estimation

机译:双耳直到混响能量比和扬声器距离估计

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摘要

This article addresses the problem of distance estimation using binaural hearing aid microphones in reverberant rooms. Among several distance indicators, the direct-to-reverberant energy ratio (DRR) has been shown to be more effective than other features. Therefore, we present two novel approaches to estimate the DRR of binaural signals. The first method is based on the interaural magnitude-squared coherence whereas the second approach uses stochastic maximum likelihood beamforming to estimate the power of the direct and reverberant components. The proposed DRR estimation algorithms are integrated into a distance estimation technique. When based solely on DRR, the distance estimation algorithm requires calibration where naturally the critical distance is a good calibration point. We thus propose two approaches for the calibration of the distance estimation algorithm: Informed calibration using the critical distance of the reverberant room and blind calibration using the listener's own voice. Results across various acoustical environments show the benefit of the proposed algorithms for the estimation of sound source distances up to 3 m with an estimation error of about 35 cm using informed calibration and about 1 m using the fully blind calibration strategy.
机译:本文通过混响室中的双耳助听器麦克风解决了距离估计问题。在几个距离指示器中,直接反向的能量比(DRR)已被证明比其他特征更有效。因此,我们提出了两种新颖的方法来估计双耳信号的DRR。第一方法基于互连幅度平方,而第二方法使用随机最大似然波束形成以估计直接和混响部件的功率。所提出的DRR估计算法集成到距离估计技术中。当完全基于DRR时,距离估计算法需要校准,其中自然临界距离是良好的校准点。因此,我们提出了两种校准距离估计算法的方法:使用混响室的临界距离和使用侦听器自己的声音盲校验的通知校准。各种声学环境的结果显示了所提出的算法的益处,用于估计最多3米的声源距离,使用完全校准校准使用明智的校准和大约1米的估计误差约为35厘米。

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