1: Advances in BirdNET. Part 1
Chairperson
Dena Clink
K Lisa Yang Center for Conservation Bioacoustics, Cornell lab of Ornithology, USA
Presentations
Mark Wilson
The potential of acoustic monitoring to inform and expand common bird monitoring
Speaker
Head of Science, British Trust for Ornithology Scotland, Stirling, UK
Biography not available
Ruari Marshall-Hawkes
Towards Automated Quantification of Species Detectability in Passively Recorded Audio with Simulated Data and Machine Learning
Speaker
Department of Zoology. University of Cambridge. Cambridge. United Kingdom.
Biography not available
Dominika Winiarska
Methods of acoustic data analysis affect species detectability in passive acoustic monitoring
Speaker
Department of Behavioural Ecology, Adam Mickiewicz University in Poznan, Poland
Biography not available
Yi-Chin Tseng
Evaluation and application of BirdNET: identification of bird species by their sounds
Speaker
PhD in Avian Acoustics. Passive acoustic monitoring. University of Northern British Columbia. Prince George. Canada
Biography not available