dr. Dan Stowell

Bio

My research focuses on animal sound and machine learning (AI). I develop methods to understand animal behaviour and monitor animal populations, using modern computational methods to uncover new evidence from audio data.

Courses

• Research Workshop: CSAI
• Master thesis/Data Science in Action
• AI for Nature and Environment

Collaboration

My position is a joint appointment with Naturalis Biodiversity Centre, via JADS. We are building collaborations for large-scale monitoring of biodiversity using multimedia and deep learning.

Recent publications

1. The potential for acoustic individual identification in mammals

   Linhart, P., Mahamoud-Issa, M., Stowell, D., & Blumstein, D. T. (2022). The potential for acoustic individual identification in mammals. Mammalian Biology, 102, 667–683.

2. Polyphonic sound event detection for highly dense birdsong scenes

   Parrilla, A. G. A., & Stowell, D. (2022). Polyphonic sound event detection for highly dense birdsong scenes. In Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2022) (pp. 146-150)

3. Computational bioacoustics with deep learning: a review and roadmap

   Stowell, D. (2022). Computational bioacoustics with deep learning: a review and roadmap. PEERJ, 10, 1-46. Article e13152.

4. Full-Stack Bioacoustics - Field Kit to AI to Action (Workshop report)

   Stowell, D., Black, C., Noriega, F., & Sethi, S. S. (2022). Full-Stack Bioacoustics: Field Kit to AI to Action (Workshop report).

5. Bird song comparison using deep learning trained from avian perceptua…

   Zandberg, L., Morfi, V., Mary, Q., Mary, Q., Stowell, D., & Lachlan, R. F. (2022, Dec 23). Bird song comparison using deep learning trained from avian perceptual judgments.