Continuous Automatic Bioacoustics Monitoring of Bird Calls with Local Processing on Node Level 机翻标题: 暂无翻译,请尝试点击翻译按钮。

会议集名/来源
2018 IEEE Region 10 Conference: IEEE Region 10 Conference (TENCON 2018), 28-31 Oct. 2018, Jeju, Korea (South)
出版年
2018
页码
235-239
会议地点
Jeju
作者单位
Department of Computer Science & Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science & Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science & Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science & Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science & Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science & Engineering, University of Moratuwa, Sri LankaRobotics and Autonomous Systems Group, CSIRO, Pullenvale, QLD, 4069, Australia
作者
Hansika Weerasena;Manesh Jayawardhana;Dineth Egodage;Heshan Fernando;Sulochana Sooriyaarachchi;Chandana Gamage;Navinda Kottege
摘要
In automatic bioacoustic monitoring it is important to do continuous observations to capture rare events, but storage and communication overheads typically prevent continuous real-time monitoring. To overcome this limitation, this paper presents a low complexity local processing method for acoustic signals targeting resource constrained nodes and preprocessing and segmentation techniques in line with the proposed local processing technique for effective and continuous identification of bird calls. This paper also focuses on designing of overall automatic bioacoustic monitoring system including feature extraction and classification. The proposed system with Two-windows method shows maximum accuracy of 93.85\% when trained and tested using SVM classifier with 214 real world recordings containing calls of 5 bird species. Having local processing at node level has shown 43\% reduction of space requirement at node level and 24\% reduction of processing time.
机翻摘要
暂无翻译结果,您可以尝试点击头部的翻译按钮。
关键词
Birds;Monitoring;Support vector machines;Biomedical acoustics;Feature extraction;Kernel
若您需要申请原文,请登录。

最新评论

暂无评论。

登录后可以发表评论

意见反馈
返回顶部