2 papers
cs.SD2026
MAST: Label-Efficient, Robust, and Generalizable Sound Detection for Biodiversity Monitoring via Masked Audio Pretraining and Self-Training
Tianyi Xu, Daniel Pimentel-Alarcón, Zuzana Buřivalová +1
Passive acoustic monitoring can measure biodiversity at larger scales, but time--frequency annotation of animal vocalizations is expensive, site-specific, and difficult to sustain…
cs.LG2021
Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks
Yuren Sun, Tatiana Midori Maeda, Claudia Solis-Lemus +2
To protect tropical forest biodiversity, we need to be able to detect it reliably, cheaply, and at scale. Automated species detection from passively recorded soundscapes via machin…