Marius Faiß

I am interested in Bioacoustics, which nicely combines my passion for music, audio production and evolutionary biology. Within this field, I have been lucky to learn about aspects of sound production and communication in very different groups of animals and scientific contexts.

During my Bachelor’s degree at Universität Münster, I explored sound production and vocal learning in songbirds and hummingbirds. During my master’s degree at Leiden University I investigated the involvement of visual cues in zebra finch call exchanges using a robotic bird. I also worked on a project focused on compiling high-quality datasets of grasshopper and cicada sounds for training species classifiers, as well as testing new machine-learning methods for encoding high-frequency audio signals.

In my PhD project, which is part of the EU-funded BioAcoustic AI Consortium, I will study the dynamics and functions of vocal interactions in social mammals. I will analyse movement and audio data collected from wild animal groups. I will also explore and implement machine-learning methods that are specifically suited to detect and analyse animal vocalisations from a broad range of species.