摘要
随着无人机技术的快速发展,无人机在各类场景中的应用日益广泛。在搜救任务中,无人机能够深入人力难以到达的区域,搜寻潜在的受困人员。无人机的应用不仅显著提升了搜救效率,还有效降低了救援人员面临的风险。相比图像信息,无人机搭载的传声器采集的声频信号在照明不足或视野受限的情况下,能够提供更加丰富和关键的线索。然而,由于环境噪声和无人机自噪声的干扰,采集到的信号通常信噪比极低,需要进行有效的增强处理。该文综述了无人机搜救场景下语声增强技术的最新研究进展,并重点探讨了无人机自噪声的特性、无人机场景中的语声增强技术及其面临的挑战。此外,该文还回顾了目前与无人机噪声相关的开源数据集,并展望了未来可能的发展方向。
Drones are widely used in various scenarios with its rapid development.In search and rescue task,drones can reach areas beyond human reach and search potential trapped individuals.The application of drones significantly improves search and rescue efficiency and reduces the risks faced by rescuers.Compared to visual information,the audio signals captured by microphones mounted on the drone can provide richer and more critical clues,especially in conditions of poor lighting or limited visibility.However,due to the interference of drone ego-noise,the captured signals often have a very low signal-to-noise ratio and need to be enhanced.This review summarizes the latest research progress in speech enhancement techniques for unmanned aerial vehicle(UAV)-based search and rescue scenarios,focusing on the characteristics of drone ego-noise,speech enhancement methods in UAV scenarios and the challenges.In addition,this paper also reviews the currently available open-source datasets related to drone noise and discusses potential future development directions.
作者
雷菁
杨飞然
杨军
LEI Jing;YANG Feiran;YANG Jun(Laboratory of Noise and Audio Acoustics,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《应用声学》
北大核心
2025年第3期539-547,共9页
Journal of Applied Acoustics
基金
国家自然科学基金项目(62171438)
北京市自然科学基金项目(4242013)。
关键词
无人机搜救
语声增强
噪声消除
UAV search and rescue
Speech enhancement
Noise reduction
作者简介
雷菁(1999-),女,河南信阳人,博士研究生,研究方向:语声增强,深度学习;通信作者:杨军,E-mail:jyang@mail.ioa.ac.cn。
