Practical analysis of big acoustic sensor data for environmental monitoring

Truskinger, Anthony, Cottman-Fields, Mark, Eichinski, Philip, Towsey, Michael, & Roe, Paul (2014) Practical analysis of big acoustic sensor data for environmental monitoring. In 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, IEEE, Sydney, NSW, pp. 91-98.

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Monitoring the environment with acoustic sensors is an effective method for understanding changes in ecosystems. Through extensive monitoring, large-scale, ecologically relevant, datasets can be produced that can inform environmental policy. The collection of acoustic sensor data is a solved problem; the current challenge is the management and analysis of raw audio data to produce useful datasets for ecologists.

This paper presents the applied research we use to analyze big acoustic datasets. Its core contribution is the presentation of practical large-scale acoustic data analysis methodologies. We describe details of the data workflows we use to provide both citizen scientists and researchers practical access to large volumes of ecoacoustic data. Finally, we propose a work in progress large-scale architecture for analysis driven by a hybrid cloud-and-local production-grade website.

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ID Code: 79388
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: acoustic sensing, bioacoustics, data analysis, scalable analysis, cloud infrastructure, ecoacoustics
DOI: 10.1109/BDCloud.2014.29
ISBN: 9781479967193
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900) > Information and Computing Sciences not elsewhere classified (089999)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 IEEE
Deposited On: 11 Dec 2014 00:42
Last Modified: 26 Mar 2015 07:01

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