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Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification

Shayan Gharib; Konstantinos Drossos; Emre Çakir; Dmitriy Serdyuk; Tuomas Virtanen

The two .zip files contain the pre-trained weights, features, and labels for the AUDASC

In order to use them, you need the code of AUDASC (available from here). The code of AUDASC is based on PyTorch framework

For easy and efficient reproducibility, we include our extracted features and labels (one-hot encoded) from the development dataset of the DCASE 2018 Task 1, subtask B. The license specified by the DCASE 2018 Task1, subtask B, for the data is applied here to the extracted features and labels as well.

Files (2.2 GB)
Name Size
AUDASC_features_labels.zip
md5:8613e7937a923a71a4684cdf543698ad
2.2 GB Download
AUDASC_pretrained_weights.zip
md5:5841f13589dc17259fbfd7ddff047713
8.7 MB Download
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