Across species, communication is rich, complex, and often misunderstood. In the modern world, where human-animal interaction plays a growing role — from pet care to conservation and ethical livestock management — understanding the emotional states of animals is no longer science fiction. It’s a necessity.
At the core of this research and application area is a simple idea: non-human species express emotions audibly — and we can learn to understand them.
Our work focuses on building machine learning systems that interpret emotional signals from animal vocalizations, beginning with one of the most familiar species in human environments: the domestic dog.