Automated classification of bird and amphibian calls using machine learning: A comparison of methods
We compared the ability of three machine learning algorithms (linear discriminant analysis,
decision tree, and support vector machines) to automate the classification of calls of nine …
decision tree, and support vector machines) to automate the classification of calls of nine …
[HTML][HTML] Classification of echolocation calls from 14 species of bat by support vector machines and ensembles of neural networks
Calls from 14 species of bat were classified to genus and species using discriminant
function analysis (DFA), support vector machines (SVM) and ensembles of neural networks …
function analysis (DFA), support vector machines (SVM) and ensembles of neural networks …
Quantifying bat call detection performance of humans and machines
MD Skowronski, MB Fenton - The Journal of the Acoustical Society of …, 2009 - pubs.aip.org
Methods for detecting echolocation calls in field recordings of bats vary in performance and
influence the effective range of a recording system. In experiments using synthetic calls from …
influence the effective range of a recording system. In experiments using synthetic calls from …
Detecting bat calls: an analysis of automated methods
MD Skowronski, BM Fenton - Acta Chiropterologica, 2009 - ingentaconnect.com
Long-term and large-scale acoustic surveys of bats have become possible with the
increased availability of recording hardware and advances in battery and memory storage …
increased availability of recording hardware and advances in battery and memory storage …
Underwater acoustic localization of marine mammals in an uncertain environment
An MSc thesis research project aimed at investigating three-dimensional acoustic
localization and tracking of vocalizing marine mammals. The main objective of the research …
localization and tracking of vocalizing marine mammals. The main objective of the research …