This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: specialized decision surface (SDS) and disentangled feature (DF) for weakly-supervised learning and guided learning (GL) for semi-supervised learning. We're so glad if you're interested in using it for research purpose or DCASE participation.
Hi, May I ask where should can get the wav files listed in /dataset/text/eval-2019.lst file? I have tried to download relevant datasets such as DESED_synthetic, DESED_public_eval. But the file names in these dataset didn't match in what are listed. Can you help me preprare the dataset and reproduce your DCASE2019-semi results? Thanks!
Since the DESED has been reorganized and they have changed the name of original files, I have no idea of providing the mapping list or the original dataset either.
Hi, May I ask where should can get the wav files listed in /dataset/text/eval-2019.lst file? I have tried to download relevant datasets such as DESED_synthetic, DESED_public_eval. But the file names in these dataset didn't match in what are listed. Can you help me preprare the dataset and reproduce your DCASE2019-semi results? Thanks!