Abstract
In this paper we present the influence of quantization of audio signals on D and S descriptors. These descriptors represent the number of samples between two consecutive real zeros and the number of points of local minima/maxima between two successive real zeros, respectively. It is shown that the number of the D/S pairs is almost constant and the behavior is almost the same till the number of bits is less than 6, in the proposed audio based wildlife intruder detection framework.
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Acknowledgments
This research is supported by the Human Resources Development Programme POSDRU/159/1.5/S/137516 financed by the European Social Fund and by the Romanian Government.
The work of second author has been supported by Grant PAV3M PN-II-PT-PCCA-2013-4-1762.
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Grama, L., Rusu, C. (2015). The Quantization Effect on Audio Signals for Wildlife Intruder Detection Systems. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_81
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DOI: https://doi.org/10.1007/978-3-319-27340-2_81
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