Science and Engineering Faculty
Electrical Engineering, Computer Science
Combining automated and non-automated methods of acoustic analysis for bird species richness surveys. Phil's research will explore ways of using automated acoustic analysis to determine rich and diverse subsets of a long recording. This will speed up the process of a manual species richness survey conducted by a human, as they will need to listen to less audio to observe all the species present.more...