| Oct 16, 2024 | The birdsong recognition algorithm AvesEcho, which I developed at Naturalis, was added to Xeno-canto, the world’s biggest animal sound repository. The ML model is also the first one to be hosted on the forum. Read more here. The inference model is available in this GitLab repository. |
| Sep 25, 2024 | New preprint out! in which we explore different transfer learning methods, pre-trained models, and dataset characteristics to understand the effect on birdsong classification performance, especially out-of-distribution performance. |
| Apr 1, 2024 | Just launched the 2024 edition of the Few-shot bioacoustic event detection task within the DCASE challenge. |
| Dec 21, 2023 | Our paper is out in Nature Scientific Reports, in which we investigate pre-trained deep learning classifiers for downstream bioacoustics classification tasks and report global birdsong embeddings enable superior transfer learning. |
| Dec 17, 2023 | Drew Priebe’s thesis titled: “Efficient speech detection in environmental audio using acoustic recognition and model distillation”, which I had the pleasure of co-supervising alongside Dan Stowell, has resulted in a manuscript. |
| Sep 28, 2023 | Will be organising a symposium on “Computational and machine learning methods” at IBAC2023 in Hokkaido, Japan later this year. |
| Sep 22, 2023 | Presented my work on bird sound classification at the MAMBO project meeting in Malta. |
| Aug 25, 2022 | Starting work as a Postdoctoral Fellow in AI & Biodiversity at the Naturalis Biodiversity Center in Leiden, the Netherlands beginning Jan 2023. I will be working closely with Dan Stowell to develop audio recognition algorithms to identify a variety of European taxa. |
| Mar 25, 2022 | Will be heading to the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology, Cornell University, Ithaca, USA for a 4 months-long research stint. |