Adapted model for unsupervised adversarial domain adaptation based on the Wasserstein distance, for acoustic scene classification

This is a zip file, containing two files that go together with the code for the paper "Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification," by K. Drossos, P. Magron, and T. Virtanen. 

The file with name "adapted_cnn.pt " is the adapted model of the paper. The adapted model is in the PyTorch framework and is to be used with the online available code for the same (above mentioned) paper. The code can be found at: https://github.com/dr-costas/undaw

The file with name "LICENSE" is the accompanying (non-commercial usage) license. 

If you use the model and/or the code, please consider citing our paper. For commercial use of the model and/or the code, please contact the authors.