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Code for Yun Wang's PhD Thesis: Polyphonic Sound Event Detection with Weak Labeling

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https://github.com/lijuncheng16/AudioTaggingDoneRight/blob/b8ec7f509b2a4909777e7572445a0f6233392ce1/src/utilities/stats.py The AUC calculation would return a different result VS. using the sklearn metrics package, very interesting, but haven't figured out which step was different.

The link you provide seems cannot use, can you share a new download path? If the audioset data is too large, you can just share the DCASE2017 data. Thanks.

Hi, Maigo I'm trying to utilize a DCASE winning system on Audio Tagging Challenge (https://github.com/multitel-ai/urban-sound-tagging), which uses your work on TALNet as pretrained model. But I'm getting forbidden messages from...