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Binaural sound source localization based on upward zero-crossing points detection in reverberant fields

机译:基于回声场中向上过零点检测的双耳声源定位

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This paper mainly deals with the problem of sound source localization based on upward zero-crossing points detection with two microphones. Gammatone filter bank are used to divide the signal into different frequencies, SNR can be obtained by the statistical properties of the time difference samples, and then reliable time difference samples can be selected according to the SNR limitation. Finally, the practical time difference is achieved by the analysis of the time difference samples. Consequently, the time differences are transformed into azimuths by use of geometrical relationship. Experiments are conducted with different sounds, and sounds with wider spectrum seem to perform more precisely; Evidence also shows that the method is robust to sound signals with different SNR, and experiments in different rooms reveal that reverberation apparently degrades the localization accuracy.
机译:本文主要研究基于两个麦克风向上过零点检测的声源定位问题。使用伽马通滤波器组将信号划分为不同的频率,可以通过时差样本的统计特性获得SNR,然后可以根据SNR限制选择可靠的时差样本。最后,通过分析时差样本来获得实际的时差。因此,利用几何关系将时间差转换为方位角。实验是用不同的声音进行的,而频谱更宽广的声音似乎表现得更精确。证据还表明,该方法对于具有不同SNR的声音信号具有鲁棒性,并且在不同房间中进行的实验表明,混响显然会降低定位精度。

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