Journal ArticleDOI
Automated classification of bird and amphibian calls using machine learning: A comparison of methods
Miguel A. Acevedo,Carlos J. Corrada-Bravo,Hector Corrada-Bravo,Luis J. Villanueva-Rivera,T. Mitchell Aide +4 more
Reads0
Chats0
TLDR
There was no statistical difference in classification accuracy based on 4 or 11 call variables, but this efficient data reduction technique in conjunction with the high classification accuracy of the SVM is a promising combination for automated species identification by sound.About:
This article is published in Ecological Informatics.The article was published on 2009-09-01. It has received 264 citations till now. The article focuses on the topics: Call duration & Linear discriminant analysis.read more
Citations
More filters
Journal ArticleDOI
Estimating animal population density using passive acoustics
Tiago Reis Marques,Tiago Reis Marques,Len Thomas,Stephen W. Martin,David K. Mellinger,Jessica Ward,David Moretti,Danielle Harris,Peter L. Tyack +8 more
TL;DR: In this paper, the authors present an overview of animal density estimation using passive acoustic data, a relatively new and fast-developing field, and provide a framework for acoustics-based density estimation, illustrated with real-world case studies.
Journal ArticleDOI
Improving occupancy estimation when two types of observational error occur: non‐detection and species misidentification
David A. W. Miller,James D. Nichols,Brett T. McClintock,Evan H. Campbell Grant,Larissa L. Bailey,Linda A. Weir +5 more
TL;DR: It is shown that models that account for possible misidentification have greater support and can yield substantially different occupancy estimates than those that do not and can be used to improve estimates of occupancy for study designs where a subset of detections is of a type or method for which false positives can be assumed to not occur.
Journal ArticleDOI
The use of bioacoustics in anuran taxonomy: theory, terminology, methods and recommendations for best practice
Jörn Köhler,Martin Jansen,Ariel Rodríguez,Philippe J. R. Kok,Luís Felipe Toledo,Mike Emmrich,Frank Glaw,Célio F. B. Haddad,Mark-Oliver Rödel,Miguel Vences +9 more
TL;DR: It is shown that small-sized frogs often emit calls with frequency components in the ultrasound spectrum, although it is unlikely that these high frequencies are of biological relevance for the majority of them, and it is illustrated that detection of upper harmonics depends also on recording distance because higher frequencies are attenuated more strongly.
Journal ArticleDOI
Real-time bioacoustics monitoring and automated species identification
T. Mitchell Aide,Carlos J. Corrada-Bravo,Marconi Campos-Cerqueira,Carlos Milan,Giovany Vega,Rafael Alvarez +5 more
TL;DR: The acoustical component of the Automated Remote Biodiversity Monitoring Network (ARBIMON), a novel combination of hardware and software for automating data acquisition, data management, and species identification based on audio recordings, is described.
Journal ArticleDOI
Applications of machine learning in animal behaviour studies
TL;DR: This review aims to introduce animal behaviourists unfamiliar with machine learning (ML) to the promise of these techniques for the analysis of complex behavioural data and illustrate key ML approaches by developing data analytical pipelines for three different case studies that exemplify the types of behavioural and ecological questions ML can address.
References
More filters
Journal ArticleDOI
LIBSVM: A library for support vector machines
Chih-Chung Chang,Chih-Jen Lin +1 more
TL;DR: Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
Book
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
TL;DR: In this paper, the authors describe the important ideas in these areas in a common conceptual framework, and the emphasis is on concepts rather than mathematics, with a liberal use of color graphics.
BookDOI
Modern Applied Statistics with S
W. N. Venables,Brian D. Ripley +1 more
TL;DR: A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods.
Journal ArticleDOI
The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture
TL;DR: The second volume in a series on terrestrial and marine comparisons focusing on the temporal complement of the earlier spatial analysis of patchiness and pattern was published by Levin et al..
Journal ArticleDOI
kernlab - An S4 Package for Kernel Methods in R
TL;DR: The package contains dot product primitives (kernels), implementations of support vector machines and the relevance vector machine, Gaussian processes, a ranking algorithm, kernel PCA, kernel CCA, and a spectral clustering algorithm.
Related Papers (5)
Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus
Daniel T. Blumstein,Daniel J. Mennill,Patrick Clemins,Lewis Girod,Kung Yao,Gail L. Patricelli,Jill L. Deppe,Alan H. Krakauer,Christopher J. R. Clark,Kathryn A. Cortopassi,Sean F. Hanser,Brenda McCowan,Brenda McCowan,Andreas M. Ali,Alexander N. G. Kirschel,Alexander N. G. Kirschel,Alexander N. G. Kirschel +16 more