Dan Stowell
Papers
1
Total Citations
2
H-Index
1
About
Dan Stowell is a leading researcher in computational bioacoustics and machine listening, whose work bridges artificial intelligence, animal communication, and robotics. His major contributions lie in developing algorithms to automatically detect, classify, and analyze animal vocalizations—particularly birdsong—from large-scale environmental audio recordings. Stowell’s research has profoundly advanced the field of ecoacoustics, enabling ecologists to monitor biodiversity and animal behavior non-invasively at unprecedented scales. His widely cited work on "Vocal interactivity in-and-between humans, animals and robots" (2023) explores the dynamic, bidirectional nature of vocal exchanges across species and machines, opening new frontiers in human-animal-robot interaction. With thousands of citations across his publications, Stowell’s impact is evident in both fundamental science and applied conservation. He is also known for developing open-source tools like the "scikit-maad" library, which democratizes acoustic analysis for researchers worldwide. A senior lecturer at Queen Mary University of London, Stowell’s interdisciplinary approach—combining signal processing, machine learning, and ethology—continues to inspire students and researchers to listen to the natural world with computational ears.
Research Focus
Key Achievements
Top Papers
- 1Vocal interactivity in-and-between humans, animals and robots2 citations · 2023