AI learns coral reef ’song’

Healthy Coral Reef - Credit Tim Lamont - Artificial Intelligence (AI) can track the health of coral reefs by learning the "song of the reef", finds new research involving a UCL scientist. Coral reefs have a complex soundscape - and even experts have to conduct painstaking analysis to measure reef health based on sound recordings. In the new study, published in Ecological Indicators, scientists trained a computer algorithm using multiple recordings of healthy and degraded reefs, allowing the machine to learn the difference. The computer then analysed a host of new recordings, and successfully identified reef health 92% of the time. The team used this to track the progress of reef restoration projects. Lead author, PhD Candidate Ben Williams (UCL Centre for Biodiversity and Environment Research), who started the study while at the University of Exeter, said "Coral reefs are facing multiple threats including climate change, so monitoring their health and the success of conservation projects is vital. "One major difficulty is that visual and acoustic surveys of reefs usually rely on labour-intensive methods.  "Visual surveys are also limited by the fact that many reef creatures conceal themselves, or are active at night, while the complexity of reef sounds has made it difficult to identify reef health using individual recordings.  "Our approach to that problem was to use machine learning - to see whether a computer could learn the song of the reef.  "Our findings show that a computer can pick up patterns that are undetectable to the human ear.