Mirage：基于回声的麦克风对增强的二维声源定位
Mirage: 2D Source Localization Using Microphone Pair Augmentation with Echoes
摘要：
通常观察到，声学回波损害声源定位（SSL）方法的性能。我们介绍的概念，麦克风阵列增强回声（MILITY），并显示如何估计早期的回声特性实际上可以受益SSL。我们提出了一种基于学习的回声估计方案结合了基于物理的回声聚合方案。在一个简单的情况下，涉及2个麦克风接近反射表面和一个源，我们使用模拟数据表明，所提出的方法在方位角估计中执行类似于基于相关性的方法，同时仅从2个麦克风检索仰角，这在消声环境中是不可能完成的任务。
英文摘要：
It is commonly observed that acoustic echoes hurt performance of sound source localization (SSL) methods. We introduce the concept of microphone array augmentation with echoes (MIRAGE) and show how estimation of early-echo characteristics can in fact benefit SSL. We propose a learning-based scheme for echo estimation combined with a physics-based scheme for echo aggregation. In a simple scenario involving 2 microphones close to a reflective surface and one source, we show using simulated data that the proposed approach performs similarly to a correlation-based method in azimuth estimation while retrieving elevation as well from 2 microphones only, an impossible task in anechoic settings.
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