Managing and Analysing Big Audio Data for Environmental Monitoring
Jinglan Zhang, Kai Huang, Mark Cottman-Fields, Anthony Truskinger, Paul Roe, Shufei Duan, Xueyan Dong, Michael Towsey, Jason Wimmer · 2013
Environmental monitoring is becoming critical as human activity and climate change place greater pressures on biodiversity, leading to an increasing need for data to make informed decisions. Acoustic sensors can help collect data across large areas for extended periods making them attractive in environmental monitoring. However, managing and analysing large volumes of environmental acoustic data is a great challenge and is consequently hindering the effective utilization of the big dataset collected. This paper presents an overview of our current techniques for collecting, storing and analysing large volumes of acoustic data efficiently, accurately, and cost-effectively.