AINeutralarXiv – CS AI · 6h ago6/10
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QC-GAN: A Parameter-Efficient Quaternion Conformer GAN for High-Fidelity Speech Enhancement
Researchers introduce QC-GAN, a parameter-efficient speech enhancement model combining Quaternion Conformer architecture with MetricGAN training. The framework achieves state-of-the-art speech quality scores while using less than half the parameters of comparable models, with a 35K-parameter variant demonstrating viable ultra-lightweight performance.