Biodiversity monitoring using audio recordings is achievable at a truly global scale via large-scale deployment of inexpensive, unattended recording stations or by large-scale crowdsourcing using recording and species recognition on mobile devices. The ability, however, to reliably identify vocalising animal species is limited by the fact that acoustic signatures of interest in such recordings are typically embedded in a diverse and complex acoustic background.
Detecting bird sound in unknown acoustic background using crowdsourced training data
25 May 2015
Other Recent Journal Article / Working Papers
Environmental damages of the top ten percent consumers exceed global climate and biodiversity funding gaps
Spatial Engineering of Gas Diffusion Layers Overcomes Mass Transport Limitations in Fuel Cells
Can knowledge reclassification accelerate technological innovation?
Assessing the resilience of global grain supplies to compound climatic and non-climatic shocks
Increase in wild animal consumption across Central Africa
Beyond alignment: Why robotic foundation models need context-aware safety