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Audio Source Positioning Based on Angle of Arrival Measurements Using Particle Filter

机译:基于粒子滤波的到达角测量的音频源定位

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This paper presents a numerical approach to the audio source positioning problem using microphones available in mobile devices. The proposed solution is a particle filter. The algorithm accuracy was tested with four different datasets, two measured in an anechoic chamber and two in a listening room. The particle filters smoothing parameter and measurement noise variance are estimated offline. The results show that this algorithm is able to position the audio source well in quiet environments.
机译:本文提出了一种使用移动设备中可用的麦克风来解决音频源定位问题的数值方法。提出的解决方案是粒子过滤器。使用四个不同的数据集测试了算法的准确性,其中两个是在消声室中测量的,另外两个是在听音室中测量的。离线估计粒子滤波器的平滑参数和测量噪声方差。结果表明,该算法能够在安静的环境中很好地定位音频源。

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