Scaling acoustic data analysis through collaboration and automation
Wimmer, Jason, Towsey, Michael W., Planitz, Birgit, Roe, Paul, & Williamson, Ian (2011) Scaling acoustic data analysis through collaboration and automation. In Proceedings of IEEE Sixth International Conference on e-Science, IEEE, Brisbane, Qld.
Monitoring and assessing environmental health is becoming increasingly important as human activity and climate change place greater pressure on global biodiversity. Acoustic sensors provide the ability to collect data passively, objectively and continuously across large areas for extended periods of time. While these factors make acoustic sensors attractive as autonomous data collectors, there are significant issues associated with large-scale data manipulation and analysis. We present our current research into techniques for analysing large volumes of acoustic data effectively and efficiently. We provide an overview of a novel online acoustic environmental workbench and discuss a number of approaches to scaling analysis of acoustic data; collaboration, manual, automatic and human-in-the loop analysis.
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|Item Type:||Conference Paper|
|Keywords:||acoustic sensor, acoustic sensor data analysis, biodiversity monitoring, climate change, automated sound recorder|
|Subjects:||Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > ENGINEERING DESIGN (120400)|
|Divisions:||Past > Schools > Biogeoscience|
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Information Systems
|Copyright Owner:||Copyright 2011 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||17 Jun 2011 08:40|
|Last Modified:||04 Jul 2011 08:26|
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