Computational bioacoustics with deep learning: a review and roadmap
D Stowell - PeerJ, 2022 - peerj.com
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires
Animals produce vocalizations that range in complexity from a single repeated call to
hundreds of unique vocal elements patterned in sequences unfolding over hours …
hundreds of unique vocal elements patterned in sequences unfolding over hours …
The potential for acoustic individual identification in mammals
Many studies have revealed that animal vocalizations, including those from mammals, are
individually distinctive. Therefore, acoustic identification of individuals (AIID) has been …
individually distinctive. Therefore, acoustic identification of individuals (AIID) has been …
Automated annotation of birdsong with a neural network that segments spectrograms
Y Cohen, DA Nicholson, A Sanchioni, EK Mallaber… - Elife, 2022 - elifesciences.org
Songbirds provide a powerful model system for studying sensory-motor learning. However,
many analyses of birdsong require time-consuming, manual annotation of its elements …
many analyses of birdsong require time-consuming, manual annotation of its elements …
Fast and accurate annotation of acoustic signals with deep neural networks
E Steinfath, A Palacios-Muñoz, JR Rottschäfer… - Elife, 2021 - elifesciences.org
Acoustic signals serve communication within and across species throughout the animal
kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication …
kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication …
Latent space visualization, characterization, and generation of diverse vocal communication signals
Animals produce vocalizations that range in complexity from a single repeated call to
hundreds of unique vocal elements patterned in sequences unfolding over hours …
hundreds of unique vocal elements patterned in sequences unfolding over hours …
Recent advances at the interface of neuroscience and artificial neural networks
Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …
networks (ANNs) have exploited biological properties to solve complex problems. However …
Syllable clustering analysis-based passive acoustic monitoring technology and its application in bird monitoring
K Wu, W Ruan, D Zhou, Q Chen, C Zhang… - Biodiversity …, 2023 - biodiversity-science.net
Aims: Passive acoustic monitoring has proven to be an effective method for monitoring bird
biodiversity, as it allows for the analysis of important information such as bird songs and …
biodiversity, as it allows for the analysis of important information such as bird songs and …
The impacts of fine-tuning, phylogenetic distance, and sample size on big-data bioacoustics
Vocalizations in animals, particularly birds, are critically important behaviors that influence
their reproductive fitness. While recordings of bioacoustic data have been captured and …
their reproductive fitness. While recordings of bioacoustic data have been captured and …
SongExplorer: A deep learning workflow for discovery and segmentation of animal acoustic communication signals
Many animals produce distinct sounds or substrate-borne vibrations, but these signals have
proved challenging to segment with automated algorithms. We have developed …
proved challenging to segment with automated algorithms. We have developed …