Ecoacoustic data analysis (Old ID 27596)

Principal Investigator

It is now possible to collect and store vast amounts of environmental sound, or bioacoustic data. The promise of environmental recording is that it could allows us to monitor populations of vocal fauna (birds, mammals and amphibians), but there is so much data, it is not possible for expert human listeners to listen to and identify each species. Thus, artificial intelligence, or AI methods would be useful. However, ecologists also lack the large amounts of labelled data required to easily create convolutional neural networks typically used for such tasks. To develop new AI approaches for monitoring fauna, we require skilled people. This grant is intended to support a post-doctoral fellow to conduct this work.

04 Jan 2022 - 15 Jun 2023

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