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View Code? Open in Web Editor NEWPyTorch implementation of our work: Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning (WASPAA 2023)
PyTorch implementation of our work: Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning (WASPAA 2023)
Dear Moummad,
This is Zhijin Meng, a current Master of IT student in the University of New South Wales (UNSW) in Australia.
Recently I have been researching on a classification problem in respiration and I saw your paper named ''Supervised Contrastive Learning for Respiratory Sound Classification", which inspires me a lot.
However, when I want to reproduce the code, I found that the code is expecting a csv file named metadata.csv under 'data' folder, which I don't have. Did I misunderstand the instructions or the csv file is not pushed on Github? Could you please give me some hints on this? Screen shot shown as below.
All the best,
Zhijin Meng
Hi author, I would like to ask about icbhi official rules for dividing the dataset into training set and test set? Please let me know.
Hi, @ilyassmoummad :
Have you realdy update for M-SCL and SPRSound dataset, i didn't see that,
Thanks in advance.
Thanks for sharing the code, but I still want to ask why my score is quite different from yours. For example, for CE pre-trained models, I got the best score of 0.5287 at 243 epochs according to your parameter settings (400epoch), but your score is around 55.24
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