About quantization of audio signals for wildlife intruder detection systems

In this work we study the quantization of audio signals for a zero-crossing method recently used to detect intruders in wildlife areas. This method implements two descriptors: D (represents the number of samples between two real zeros) and S (represents the number of points of local minima/maxima between two consecutive real zeros). We show using experimental results that in the proposed audio based wildlife intruder detection framework, the number of D/S pairs are almost constant till the number of bits used for quantization is less than six.