S3T: Self-supervised pre-training with Swin Transformer for music classification

Self-supervised pre-training method with Swin Transformer for music classification, leveraging massive unlabeled music data to improve the performance of music classification and reduce the dependence on a considerable amount of labeled music data.

Data and Resources

Cite this as

Hang Zhao, Chen Zhang, Bilei Zhu, Zejun Ma, Kejun Zhang (2024). Dataset: S3T: Self-supervised pre-training with Swin Transformer for music classification. https://doi.org/10.57702/v7kxjv8j

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Hang Zhao
More Authors
Chen Zhang
Bilei Zhu
Zejun Ma
Kejun Zhang
Homepage https://arxiv.org/abs/2103.14030