I.E.E.A.C. Department, Universidad Castilla-La Mancha, 16071, Cuenca, Spain.
J Acoust Soc Am. 2012 Sep;132(3):1511-20. doi: 10.1121/1.4740503.
Uniform circular array processing has been shown to be a very useful tool for broadband acoustic source localization over 360°. Specifically, beamforming methods based on circular harmonics have attracted a lot of research attention in the last several years, as modal array signal processing is a very active research topic. On the other hand, due to the sparsity properties of speech, source localization methods in the time-frequency (T-F) domain have also demonstrated their capability to locate several simultaneous sources with high accuracy. In this paper, a localization framework based on circular harmonics beamforming and T-F processing that provides accurate localization performance under very adverse acoustic conditions is presented. Modal processing and sparsity-based localization are jointly addressed to estimate the direction-of-arrival of multiple concurrent speech sources. Experiments in real and simulated environments with different microphone setups are discussed, showing the validity of the proposed approach and comparing its performance with other state-of-the-art methods.
均匀圆形阵列处理已被证明是一种非常有用的工具，可用于在 360°范围内对宽带声源进行定位。具体来说，基于圆谐的波束形成方法在过去几年中引起了很多研究关注，因为模态阵列信号处理是一个非常活跃的研究课题。另一方面，由于语音的稀疏特性，时频（T-F）域中的声源定位方法也已经证明了它们能够以高精度定位多个同时声源的能力。本文提出了一种基于圆谐波束形成和 T-F 处理的定位框架，该框架在非常不利的声学条件下提供了精确的定位性能。模态处理和基于稀疏性的定位被联合处理，以估计多个并发语音源的到达方向。讨论了在具有不同麦克风设置的真实和模拟环境中的实验，展示了所提出方法的有效性，并将其性能与其他最先进的方法进行了比较。
