计算机科学
声源定位
人工智能
声音(地理)
领域(数学分析)
机器学习
声学
数学
物理
数学分析
作者
Gabriel Jekateryńczuk,Zbigniew Piotrowski
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2023-12-22
卷期号:24 (1): 68-68
被引量:66
摘要
This study is a survey of sound source localization and detection methods. The study provides a detailed classification of the methods used in the fields of science mentioned above. It classifies sound source localization systems based on criteria found in the literature. Moreover, an analysis of classic methods based on the propagation model and methods based on machine learning and deep learning techniques has been carried out. Attention has been paid to providing the most detailed information on the possibility of using physical phenomena, mathematical relationships, and artificial intelligence to determine sound source localization. Additionally, the article underscores the significance of these methods within both military and civil contexts. The study culminates with a discussion of forthcoming trends in the realms of acoustic detection and localization. The primary objective of this research is to serve as a valuable resource for selecting the most suitable approach within this domain.
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