On loss functions and CNNs for improved bioacoustic signal classification

Hybrid-loss supervision for deep neural network

(2020) Qishang Cheng et al.   NEUROCOMPUTING

A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network

(2020) Jack LeBien et al.   Ecological Informatics

Non-sequential automatic classification of anuran sounds for the estimation of climate-change indicators

(2018) Amalia Luque et al.   EXPERT SYSTEMS WITH APPLICATIONS

Frog call classification: a survey

(2016) Jie Xie et al.   ARTIFICIAL INTELLIGENCE REVIEW

Adaptive frequency scaled wavelet packet decomposition for frog call classification

(2016) Jie Xie et al.   Ecological Informatics

Methodology for automatic bioacoustic classification of anurans based on feature fusion

(2016) Juan J. Noda et al.   EXPERT SYSTEMS WITH APPLICATIONS

Rapid decline and extinction of a montane frog population in southern Australia follows detection of the amphibian pathogenBatrachochytrium dendrobatidis

(2014) G. R. Gillespie et al.   ANIMAL CONSERVATION

Sampling environmental acoustic recordings to determine bird species richness

(2013) Jason Wimmer et al.   ECOLOGICAL APPLICATIONS

Automatic recognition of frog calls using a multi-stage average spectrum

(2012) Wen-Ping Chen et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS