Acoustic signal processing in the spherical harmonics domain (SHD) is an active research area that exploits the signals acquired by higher order microphone arrays. A very important task is that concerning the localization of active sound sources. In this paper, we propose a simple yet effective method to localize prominent acoustic sources in adverse acoustic scenarios. By using a proper normalization and arrangement of the estimated spherical harmonic coefficients, we exploit low-rank approximations to estimate the far field modal directional pattern of the dominant source at each time-frame. The experiments confirm the validity of the proposed approach, with superior performance compared to other recent SHD-based approaches.

翻译：球谐域（SHD）声信号处理是一个活跃的研究领域，其利用高阶传声器阵列采集的信号展开分析。其中一项关键任务是定位活跃声源。本文提出一种简洁而有效的方法，用于在复杂声学场景中定位主要声源。通过对估计的球谐系数进行合理归一化与排列，我们利用低秩近似估计每个时间帧内主导声源的远场模态指向性模式。实验结果验证了该方法的有效性，其性能优于其他近期基于SHD的方法。