4 citations · 4 across the 7 of their papers we have counts for
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cs.LG2023
Auto deep learning for bioacoustic signals
Giulio Tosato, Abdelrahman Shehata, Joshua Janssen +3
This study investigates the potential of automated deep learning to enhance the accuracy and efficiency of multi-class classification of bird vocalizations, compared against tradit…
cs.SD2023
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation
Drew Priebe, Burooj Ghani, Dan Stowell
The ongoing biodiversity crisis, driven by factors such as land-use change and global warming, emphasizes the need for effective ecological monitoring methods. Acoustic monitoring…