摘要
为了提高室内分布式麦克风阵列声源定位的精度,为后续更好地进行语音处理做准备,文章提出了一种新的麦克风阵列设计方案。将波束形成(BF)算法、多重信号分类(MUSIC)算法、广义互相关(GCC)算法分别应用在系统中进行测试,根据测试结果选取最适合本系统的算法。测试结果表明,GCC算法定位精度高且反应速度快,效果优于MUSIC算法和BF算法,因此选择GCC算法作为系统的定位算法。应用GCC算法的分布式麦克风阵列在室内环境中有较强的适用性,可为系统的其他操作提供良好的技术支撑。
In order to improve the accuracy of indoor distributed microphone array sound source localization and prepare for better speech processing in the future,this paper proposes a new microphone array design scheme.The Beamforming(BF)algorithm,Multiple Signal Classification(MUSIC)algorithm,and Generalized Cross Correlation(GCC)algorithm are respectively applied and tested in the system,and the most suitable algorithm for this system is selected based on the test results.The test results show that the GCC algorithm has high localization accuracy and fast response speed,outperforming both the MUSIC and BF algorithms.Therefore,the GCC algorithm is chosen as the localization algorithm for the system.The distributed microphone array with the GCC algorithm has strong applicability in indoor environments and can provide good technical support for other operations of the system.
作者
花嵘
刘元龙
黄泽源
HUA Rong;LIU Yuanlong;HUANG Zeyuan(College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China;Xixing(Qingdao)Technology Service Co.,Ltd.,Qingdao 266000,China)
出处
《软件工程》
2024年第7期65-68,共4页
Software Engineering
基金
西兴技术智能语音系统(02030061003)。
关键词
分布式麦克风阵列
声源定位
TDOA
GCC
distributed microphone array
sound source localization
Time Difference of Arrival(TDOA)
GCC