Unsupervised Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification

This is the Redmine project for the code of our work on unsupervised adversarial domain adaptation based on Wasserstein distance, for acoustic scene classification.

You can find the paper presenting our method here

Our code can be found at the repository page in this project and at the GitHub repository of the project.

We also offer the adapted model at Zenodo. The adapted model can be found here

If you encounter any issue, you can notify us either in this project New issue page or at the GitHub Issues page