Animal Sound Identifier (ASI) : software for automated identification of vocal animals

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Ovaskainen , O , de Camargo , U M & Somervuo , P 2018 , ' Animal Sound Identifier (ASI) : software for automated identification of vocal animals ' , Ecology Letters , vol. 21 , no. 8 , pp. 1244-1254 . https://doi.org/10.1111/ele.13092

Title: Animal Sound Identifier (ASI) : software for automated identification of vocal animals
Author: Ovaskainen, Otso; de Camargo, Ulisses Moliterno; Somervuo, Panu
Contributor: University of Helsinki, Organismal and Evolutionary Biology Research Programme
University of Helsinki, Research Centre for Ecological Change
University of Helsinki, Research Centre for Ecological Change
Date: 2018-08
Language: eng
Number of pages: 11
Belongs to series: Ecology Letters
ISSN: 1461-023X
URI: http://hdl.handle.net/10138/299448
Abstract: Automated audio recording offers a powerful tool for acoustic monitoring schemes of bird, bat, frog and other vocal organisms, but the lack of automated species identification methods has made it difficult to fully utilise such data. We developed Animal Sound Identifier (ASI), a MATLAB software that performs probabilistic classification of species occurrences from field recordings. Unlike most previous approaches, ASI locates training data directly from the field recordings and thus avoids the need of pre-defined reference libraries. We apply ASI to a case study on Amazonian birds, in which we classify the vocalisations of 14 species in 194504 one-minute audio segments using in total two weeks of expert time to construct, parameterise, and validate the classification models. We compare the classification performance of ASI (with training templates extracted automatically from field data) to that of monitoR (with training templates extracted manually from the Xeno-Canto database), the results showing ASI to have substantially higher recall and precision rates.
Subject: Automated vocal identification
autonomous audio recording
joint species distribution modelling
species classification
species identification
vocal communities
SECONDARY FOREST
OLD-GROWTH
CLASSIFICATION
CONSERVATION
BIRDS
OCCUPANCY
COMMUNITY
MONITOR
MODELS
AMAZON
1181 Ecology, evolutionary biology
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