Bioacoustics and Machine Learning in Ecology

This chapter explores the application of supervised learning in bioacoustics to identify species through sound, focusing on the PERch project that captures and analyzes environmental audio data. It discusses how acoustic analysis can reveal not only species presence but also individual behaviors and ecosystem health, using both terrestrial and marine examples. The chapter highlights the innovative use of deep learning to enhance understanding of biodiversity and the limitations of traditional observation methods.