A new method for ecoacoustics? Toward the extraction and evaluation of ecologically-meaningful soundscape components using sparse coding methods

Eldridge, Alice, Casey, Michael, Moscoso, Paola and Peck, Mika (2016) A new method for ecoacoustics? Toward the extraction and evaluation of ecologically-meaningful soundscape components using sparse coding methods. PeerJ, 4. e210. ISSN 2376-5992

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Abstract

Passive acoustic monitoring is emerging as a promising non-invasive proxy for ecological complexity with potential as a tool for remote assessment and monitoring (Sueur and Farina, 2015). Rather than attempting to recognise species-specific calls, either manually or automatically, there is a growing interest in evaluating the global acoustic environment. Positioned within the conceptual framework of ecoacoustics, a growing number of indices have been proposed which aim to capture community-level dynamics by (e.g. Pieretti et al., 2011; Farina, 2014; Sueur et al., 2008b) by providing statistical summaries of the frequency or time domain signal. Although promising, the ecological relevance and efficacy as a monitoring tool of these indices is still unclear. In this paper we suggest that by virtue of operating in the time or frequency domain, existing indices are limited in their ability to access key structural information in the spectro-temporal domain. Alternative methods in which time-frequency dynamics are preserved are considered. Sparse-coding and source separation algorithms (specifically, shift-invariant probabilistic latent component analysis in 2D) are proposed as a means to access and summarise time- frequency dynamics which may be more ecologically-meaningful.

Item Type: Article
Keywords: Soundscape, Music Informatics, conservation, ecology
Schools and Departments: School of Life Sciences > Evolution, Behaviour and Environment
Research Centres and Groups: Sussex Humanities Lab
Subjects: Q Science > QH Natural history > QH0301 Biology > QH0540 Ecology
Depositing User: Alice Eldridge
Date Deposited: 16 May 2016 10:56
Last Modified: 01 Sep 2017 06:04
URI: http://sro.sussex.ac.uk/id/eprint/61016

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Project NameSussex Project NumberFunderFunder Ref
Rapid Acoustic Survey: Validating Acoustic Methods for Biodiversity AssessmentG1606LEVERHULME TRUSTRPG-2014-403