Sankupellay, M., Dema, T., Tarar, S., Towsey, M., Truskinger, A., Brereton, M., and Roe, P. (2016) Visual analytics of eco-acoustic recordings: the use of acoustic indices to visualise 24-hour recordings. In: Proceedings of the 2016 International Symposium on Big Data Visual Analytics. pp. 70-76. From: BVDA 2016: International Symposium on Big Data Visual Analytics, 22-25 November 2016, Sydney, NSW, Australia.

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Abstract

Audio recording is a convenient and important method for large-scale terrestrial environmental monitoring. However, it is impossible to listen and make sense of all the data collected. Attempts to generalise automated analysis tasks have not been successful due to the unconstrained nature of long-term environmental recording. Our approach to this big-data challenge is to facilitate visualisation of long-term audio recording, to keep ecologists in the loop. The content of longduration audio recordings are visualised by calculating acoustic indices. Our interface facilitates the customised visualisation and navigation of long-term audio recording by ecologists. Two case studies, one in Australia and one in Bhutan, are presented as examples.

Item ID:	46028
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-5090-5272-1
Keywords:	visualisation of acoustic data, acoustic indices, soundscape ecology, acoustic environment
Date Deposited:	17 Oct 2016 23:51
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4608 Human-centred computing > 460807 Information visualisation @ 100%
SEO Codes:	96 ENVIRONMENT > 9699 Other Environment > 969999 Environment not elsewhere classified @ 50% 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 50%
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