Klinck, Holger

BirdNET: A deep learning solution for avian diversity monitoring

Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021) · Ecological Informatics

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 903

Perspectives in machine learning for wildlife conservation

Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., Mathis, A., Mathis, M. W., van Langevelde, F., Burghardt, T., et al. (2022) · Nature Communications

Wildlife Ecology and ConservationSpecies Distribution and Climate Change

Cited by 740

Global birdsong embeddings enable superior transfer learning for bioacoustic classification

Ghani, B., Denton, T., Kahl, S., & Klinck, H. (2023) · Scientific Reports

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 167

Detecting small changes in populations at landscape scales: a bioacoustic site-occupancy framework

Wood, C. M., Popescu, V. D., Klinck, H., Keane, J. J., Gutiérrez, R. J., Sawyer, S. C., & Peery, M. Z. (2019) · Ecological Indicators

Wildlife Ecology and ConservationAvian ecology and behavior

Cited by 103

Limits to the accurate and generalizable use of soundscapes to monitor biodiversity

Sethi, S. S., Bick, A., Ewers, R. M., Klinck, H., Ramesh, V., Tuanmu, M.-N., & Coomes, D. A. (2023) · Nature Ecology & Evolution

Animal Vocal Communication and BehaviorWildlife Ecology and Conservation

Cited by 95

Hybrid millidecade spectra: A practical format for exchange of long-term ambient sound data

Martin, S. B., Gaudet, B. J., Klinck, H., Dugan, P. J., Miksis-Olds, J. L., Mellinger, D. K., Mann, D. A., Boebel, O., Wilson, C. C., Ponirakis, D. W., et al. (2021) · JASA Express Letters

Noise Effects and ManagementMusic and Audio Processing

Cited by 27