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cs.SD2025
An overview of neural architectures for self-supervised audio representation learning from masked spectrograms
Sarthak Yadav, Sergios Theodoridis, Zheng-Hua Tan
In recent years, self-supervised learning has amassed significant interest for training deep neural representations without labeled data. One such self-supervised learning approach…
cs.SD2025
AudioMAE++: learning better masked audio representations with SwiGLU FFNs
Sarthak Yadav, Sergios Theodoridis, Zheng-Hua Tan
Masked Autoencoders (MAEs) trained on audio spectrogram patches have emerged as a prominent approach for learning self-supervised audio representations. While several recent papers…