Sigmund Milan
Department of Radio Electronics, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 3082/12, 61600 Brno, Czech Republic.
Sensors (Basel). 2024 Jul 30;24(15):4933. doi: 10.3390/s24154933.
Conventional gunshot detection systems can quickly and reliably detect gunshots in the area where the acoustic sensors are placed. This paper presents the detection of weak hunting gunshots using the short-term entropy of signal energy computed from acoustic signals in an open natural environment. Our research in this field was primarily aimed at detecting gunshots fired at close range with the usual acoustic intensity to protect wild elephants from poachers. The detection of weak gunshots can extend existing detection systems to detect more distant gunshots. The developed algorithm was optimized for the detection of gunshots in two categories of the surrounding sounds, short impulsive events and continuous noise, and tested in acoustic scenes where the power ratios between the weak gunshots and louder surroundings range from 0 dB to -14 dB. The overall accuracy was evaluated in terms of recall and precision. Depending on impulsive or noise sounds, binary detection was successful down to -8 dB or -6 dB; then, the efficiency decreases, but some very weak gunshots can still be detected at -13 dB. Experiments show that the proposed method has the potential to improve the efficiency and reliability of gunshot detection systems.
传统的枪声检测系统能够快速、可靠地检测出声学传感器所在区域内的枪声。本文介绍了在开放自然环境中，利用从声学信号计算得到的信号能量短期熵来检测微弱猎枪声。我们在该领域的研究主要旨在检测以通常声强近距离发射的枪声，以保护野生大象免受偷猎者侵害。微弱枪声的检测可以扩展现有检测系统，以检测更远距离的枪声。所开发的算法针对在两类周围声音（短脉冲事件和连续噪声）中检测枪声进行了优化，并在微弱枪声与 louder 周围环境的功率比范围从 0 dB 到 -14 dB 的声学场景中进行了测试。整体准确性根据召回率和精确率进行评估。根据脉冲或噪声声音，二元检测在低至 -8 dB 或 -6 dB 时成功；然后，效率降低，但在 -13 dB 时仍可检测到一些非常微弱的枪声。实验表明，所提出的方法有潜力提高枪声检测系统的效率和可靠性。
