Swapping the MLP projector for a GR-KAN layer in XLSR-Conformer reduces equal error rates on ASVspoof 2021 LA and DF, reaching 0.70% EER on the variable-length LA set.
Our model replaces fully-connected layer by GR-KAN, which is powerful in func- tion approximation and dimensionality reduction
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Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models
Swapping the MLP projector for a GR-KAN layer in XLSR-Conformer reduces equal error rates on ASVspoof 2021 LA and DF, reaching 0.70% EER on the variable-length LA set.