The latest state of art for the bclef 2019

Hi,
guys can anyone give us the latest state of art that has been used for the challenge?
Thank you

Two of the best resources that you should consult are two of the past working notes. This one by Jan Schlüter: http://ceur-ws.org/Vol-2125/paper_181.pdf (does also have a repository online) and last year’s winning approach by Mario Lasseck: http://ceur-ws.org/Vol-2380/paper_86.pdf

We also have a baseline repository for the 2018 BirdCLEF edition online at: https://github.com/kahst/BirdCLEF-Baseline

If you’re interested in bird sound recognition in general, you could take a look at BirdNET, my dissertation project: https://monarch.qucosa.de/api/qucosa%3A36986/attachment/ATT-0/

There’s also a repository for that: https://github.com/kahst/BirdNET

Let me know if you need any more info or help.

Best,
Stefan