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Blind location and separation of callers in a natural chorus using a microphone array

机译:使用麦克风阵列在自然合唱中盲目定位和分离呼叫者

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摘要

Male frogs and toads call in dense choruses to attract females. Determining the vocal interactions and spatial distribution of the callers is important for understanding acoustic communication in such assemblies. It has so far proved difficult to simultaneously locate and recover the vocalizations of individual callers. Here a microphone-array technique is developed for blindly locating callers using arrival-time delays at the microphones, estimating their steering-vectors, and recovering the calls with a frequency-domain adaptive beamformer. The technique exploits the time-frequency sparseness of the signal space to recover sources even when there are more sources than sensors. The method is tested with data collected from a natural chorus of Gulf Coast toads (Bufo valliceps) and Northern cricket frogs (Acris crepitans). A spatial map of locations accurate to within a few centimeters is constructed, and the individual call waveforms are recovered for nine individual animals within a 9×9 m2. These methods work well in low reverberation when there are no reflectors other than the ground. They will require modifications to incorporate multi-path propagation, particularly for the estimation of time-delays.
机译:雄性青蛙和蟾蜍召集密集的合唱团来吸引雌性。确定呼叫者的声音交互作用和空间分布对于理解此类组件中的声音通信很重要。迄今为止,事实证明很难同时定位和恢复单个呼叫者的声音。在这里,开发了一种麦克风阵列技术,用于使用麦克风处的到达时间延迟来盲目定位呼叫者,估计其控制向量并使用频域自适应波束形成器恢复呼叫。该技术利用信号空间的时频稀疏性来恢复源,即使在源比传感器多的情况下也是如此。使用从墨西哥湾沿岸蟾蜍(Bufo valliceps)和北部蛙(Acris crepitans)的自然合唱中收集的数据测试该方法。构造了精确到几厘米内的位置的空间图,并针对9×9 m 2 内的9只动物恢复了个体的呼出波形。当地面上没有反射器时,这些方法在低混响效果下效果很好。他们将需要修改以合并多径传播,尤其是对于时延的估计。

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