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Scalable Bioacoustics Pre-Processing: a platform to efficiently pre-process and reduce noise from large scale bioacoustics recordings in a distributed system

Citation

Brown, A and Garg, S and Montgomery, J, Scalable Bioacoustics Pre-Processing: a platform to efficiently pre-process and reduce noise from large scale bioacoustics recordings in a distributed system, 1.0, SourceForge, Hobart, Tasmania (2018) [Software Other]

Official URL: https://sourceforge.net/projects/fast-bioacoustics...

Abstract

This prototype distributed system can efficiently perform common preprocessing tasks on environmental acoustic data: removal of background noise, deletion of segments degraded by the sound of rain, and removal of cicada choruses from source recordings (leaving other sounds at different frequencies unchanged). The system was used as the basis for the experimental work presented in:

Brown, A and Garg, S and Montgomery, J, Scalable preprocessing of high volume environmental acoustic data for bioacoustic monitoring, PLoS One, 13, (8) Article e0201542. ISSN 1932-6203 (2018)

Item Details

Item Type:Software Other
Keywords:ecoacoustics, bioacoustics, audio processing, distributed computing
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Terrestrial biodiversity
UTAS Author:Brown, A (Mr Alexander Brown)
UTAS Author:Garg, S (Dr Saurabh Garg)
UTAS Author:Montgomery, J (Dr James Montgomery)
ID Code:129546
Year Published:2018
Deposited By:Information and Communication Technology
Deposited On:2018-12-05
Last Modified:2020-05-13
Downloads:0

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