Toward a Measure of Soundscape Dynamical Acoustic Complexity using Causal Analysis and AI
Project Investigator: Dr Alice Eldridge
Monitoring, understanding, and predicting the integrity of our planetary biosphere is one of the most critical sustainability issue of our time. The emerging science of Ecoacoustics points to the exciting possibility that eavesdropping on ecosystems may help. The soundscape is a highly dynamic pattern, which emerges from the interaction of the sounds of organisms, physical and technological processes: bees buzzing, birds and bats calling, fish whooping, wind howling, waves crashing and motors throbbing. The soundscape both reflects and influences ecosystem-level behaviours. By analysing soundscape recordings we can predict indicators of ecosystem health such as biodiversity or ecological status. However, current methods analyse short, independent sounds. One can’t appreciate a symphony by listening to isolated fragments; how might we measure the quality of the emergent ecological symphony as a whole?Download Report
Bioacoustic monitoring using drones
Project Investigator: Dr. Lin Wang
Wildlife population monitoring is a major challenge in the context of global biodiversity loss. With the capability of flying over hard-to-reach terrains, drones promise solutions to such monitoring problems. This project conducts pilot research to investigate the potential of using drones for monitoring acoustically active species, such as birds and bats. A major obstacle to address will be the ego-noise generated by the rotating motors and propellers, which leads to extremely low signal-to-noise ratio at airborne microphones if the drone captures wildlife vocalization from a large distance. The project aims to develop a drone audition prototype system for bioacoustic monitoring and address the challenging ego-noise suppression problem. The project has three objectives. 1) To develop a hardware prototype that captures environmental sound with an audio recorder carried by a quadcopter drone; 2) to collect wildlife vocalization dataset with the developed prototype; and 3) to develop wildlife species detection and identification algorithm in the presence of ego-noise.
Acoustic attenuation using advanced nanoporous materials
Project Investigator: Dr Yueting Sun
The group of Dr Yueting Sun at the University of Birmingham teamed up with Dr Jason Raymond and Dr James Kwan at the Oxford Physical Acoustics Laboratory to investigate the potential of using advanced nanoporous materials for acoustic attenuations. Sponge-like materials such as metal-organic frameworks (MOFs) and zeolites offer extremely small pores that are comparable to the size of water molecules. Squeezing liquid water into these tiny nanopores can create large solid-liquid interfaces and dissipate huge amount of mechanical energy. The team will carry out a feasibility study to see how this process can be triggered by acoustic excitations and exploit these materials to attenuate acoustic waves.