Published August 22, 2018
| Version v1
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Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification
- 1. Tampere University of Technology
- 2. Montreal Institute for Learning Algorithms
Description
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
AUDASC_features_labels.zip
Files
(2.2 GB)
Name | Size | Download all |
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md5:8613e7937a923a71a4684cdf543698ad
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2.2 GB | Preview Download |
md5:5841f13589dc17259fbfd7ddff047713
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8.7 MB | Preview Download |
Additional details
Related works
- Is supplement to
- arXiv:1808.05777 (arXiv)