摘要
现今无人机有着广泛的应用,但由于无人机自身噪声大,使得使用无人机拾音,从而实现无人机语音系统成为难题。论文针对无人机的噪声特征,综合比较多种语音降噪方法,提出了一种基于维纳滤波的无人机语音系统的实现方案。并且基于WebRTC协议实现流媒体传输,进而实现了无人机与地面站的实时信息交互。论文搭建由四旋翼无人机、麦克风阵列开发板等构成的硬件平台,应用维纳滤波降噪算法以及WebRTC技术,实现了无人机语音系统的降噪以及音视频交互,最终完成了无人机语音系统的设计与实现,为无人机噪音下的语音降噪提供了一种解决方案。
Today's unmanned aerial vehicle(UAV)have a wide range of applications,but due to the strong noise of the UAVs,the voice recording by UAV,as well as the realization of the UAV phonetic system has become a problem.Aiming at the noise characteristics of UAV,and comparing several denoising methods,this paper proposes an implementation scheme of UAV phonetic system based on Wiener filtering.The streaming media transmission is realized based on the WebRTC protocol,and the real-time information interaction between the UAV and the ground station is implemented.The hardware platform consisting of four-rotor UAV and microphone array demoboard is built.The Wiener filtering noise reduction algorithm and WebRTC technology are applied to realize the noise reduction and audio-video interaction of the UAV phonetic system.The design and implementation of the UAV phonetic system is finally finished,and a solution of speech enhancement under the noise of UAV is proposed.
作者
潘嘉琦
曹科才
丁嘉存
雷镇豪
赵勃
PAN Jiaqi;CAO Kecai;DING Jiacun;LEI Zhenhao;ZHAO Bo(College of Automation&College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023)
出处
《计算机与数字工程》
2021年第10期2161-2167,共7页
Computer & Digital Engineering
基金
江苏省大学生创新创业训练计划(编号:201810293020Z)
江苏省高等学校自然科学研究重大项目(编号:17KJA120003)
江苏省自然科学基金面上研究项目(编号:BK20161520)资助。
