Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks

Automated birdsong recognition in complex acoustic environments: a review

(2018) Nirosha Priyadarshani et al.   JOURNAL OF AVIAN BIOLOGY

Classification threshold and training data affect the quality and utility of focal species data processed with automated audio-recognition software

(2018) Elly C. Knight et al.   BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

(2017) Justin Salamon et al.   IEEE SIGNAL PROCESSING LETTERS

Autonomous recording units in avian ecological research: current use and future applications

(2017) Julia Shonfield et al.   Avian Conservation and Ecology

Frog call classification: a survey

(2016) Jie Xie et al.   ARTIFICIAL INTELLIGENCE REVIEW

Assessment of Error Rates in Acoustic Monitoring with the R package monitoR

(2016) Jonathan Katz et al.   BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING

Predicting species identity of bumblebees through analysis of flight buzzing sounds

(2016) Anton Gradišek et al.   BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING

Screening large audio datasets to determine the time and space distribution of Screaming Piha birds in a tropical forest

(2016) Juan Sebastian Ulloa et al.   Ecological Informatics

Improving distribution data of threatened species by combining acoustic monitoring and occupancy modelling

(2016) Marconi Campos-Cerqueira et al.   Methods in Ecology and Evolution

warbleR: anrpackage to streamline analysis of animal acoustic signals

(2016) Marcelo Araya-Salas et al.   Methods in Ecology and Evolution

Automatic Taxonomic Classification of Fish Based on Their Acoustic Signals

(2016) Juan Noda et al.   Applied Sciences-Basel

Large-scale semi-automated acoustic monitoring allows to detect temporal decline of bush-crickets

(2016) Alienor Jeliazkov et al.   Global Ecology and Conservation

If a frog calls in the forest: Bioacoustic monitoring reveals the breeding phenology of the endangered Richmond Range mountain frog (Philoria richmondensis)

(2015) Rosalie J. Willacy et al.   AUSTRAL ECOLOGY

Similarity-based birdcall retrieval from environmental audio

(2015) Xueyan Dong et al.   Ecological Informatics

Using automated recorders and occupancy models to monitor common forest birds across a large geographic region

(2015) Brett J. Furnas et al.   JOURNAL OF WILDLIFE MANAGEMENT

Ecoacoustics: the Ecological Investigation and Interpretation of Environmental Sound

(2015) Jérôme Sueur et al.   Biosemiotics

Assessing the performance of a semi-automated acoustic monitoring system for primates

(2015) Stefanie Heinicke et al.   Methods in Ecology and Evolution

Evaluation of autonomous recording units for detecting 3 species of secretive marsh birds

(2015) Anna M. Sidie-Slettedahl et al.   WILDLIFE SOCIETY BULLETIN

Automatic bird sound detection in long real-field recordings: Applications and tools

(2014) Ilyas Potamitis et al.   APPLIED ACOUSTICS

Comparison of autonomous and manual recording methods for discrimination of individually distinctive Ovenbird songs

(2014) M. Ehnes et al.   BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING

A continental-scale tool for acoustic identification of European bats

(2012) Charlotte L. Walters et al.   JOURNAL OF APPLIED ECOLOGY

A comparison of supervised learning techniques in the classification of bat echolocation calls

(2010) David W. Armitage et al.   Ecological Informatics

A call-independent and automatic acoustic system for the individual recognition of animals: A novel model using four passerines

(2010) Jinkui Cheng et al.   PATTERN RECOGNITION

Automated classification of bird and amphibian calls using machine learning: A comparison of methods

(2009) Miguel A. Acevedo et al.   Ecological Informatics

Frog classification using machine learning techniques

(2008) Chenn-Jung Huang et al.   EXPERT SYSTEMS WITH APPLICATIONS