Computational Bioacoustics: Signal Processing & Pattern Recognition of Animal Sounds

We recognize and appreciate the sounds of animals such as birds and whales - but they can also serve as an indicator of biodiversity: animal populations, species distributions, animal individuality and even health. Using machine learning and signal processing, just how much information can we infer from animal sounds and soundscape recordings? This webinar covers the state of the art in computational bioacoustics, focusing on the application of machine learning to audio data. Starting from birdsong species classification, a core topic, we then consider more complex and open research topics such as other sound signal types, few-shot learning and how we can/should deal with unknown sounds in soundscapes. From this webinar you will gain an understanding of how acoustic signal processing and machine learning engineers can contribute to the important goal of monitoring nature.