Abstract Using machine learning models to classify bioacoustic signals of animal species is increasingly important for conservation monitoring because manual expert labelling is time‐consuming and tedious. Monitoring endangered species is particularly challenging because these species are rare, making it difficult to collect the large, representative ...
Ysobel Sims +7 more
wiley +1 more source
Basics in bioacoustics and potential for animal welfare assessment
The study of animal welfare aims in particular at non-invasive approaches. Bioacoustics represents an ideal tool in this context as it helps identify vocal indicators of emotions; in addition, this presentation highlights the strong potential of ...
Garcia, Maxime
core
Twelve quick tips for applying deep learning to animal sounds. [PDF]
Ghani B +3 more
europepmc +1 more source
Leveraging artificial intelligence in bioacoustics for animal health monitoring and early diagnosis in veterinary medicine. [PDF]
Rideout H, Whetton AD.
europepmc +1 more source
Design Patterns for the Development and Implementation of Bioacoustic Deep Learning Recognizers. [PDF]
Hurd G, Baron R, Whittington J.
europepmc +1 more source
Strange Seal Sounds: Claps, Slaps, and Multimodal Pinniped Rhythms
Laura Verga +2 more
doaj +1 more source
Noise-Resilient Bioacoustics Feature Extraction Methods and Their Implications on Audio Classification Performance: Systematic Review. [PDF]
Owino G, Shibwabo B.
europepmc +1 more source
Markov Chain Wave Generative Adversarial Network for Bee Bioacoustic Signal Synthesis. [PDF]
Samarappuli K +3 more
europepmc +1 more source
Novel Progress in Bat Biological Research: Evolution, Physiology, Behavior and Conservation. [PDF]
Feng J, Liu Y, Wang H.
europepmc +1 more source
Development of a shallow-water underwater acoustic recording system - version 2. [PDF]
Bagočius D +3 more
europepmc +1 more source

