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QC-GAN: Parameter-Efficient Speech Enhancement Model Delivers High Fidelity with 0.89M Parameters

Artificial Intelligence #speech enhancement#gan

QC-GAN: Parameter-Efficient Speech Enhancement Model Delivers High Fidelity with 0.89M Parameters

A new speech enhancement framework, QC-GAN, combines a Quaternion Conformer generator with MetricGAN-based training to deliver state-of-the-art perceptual quality using remarkably few parameters. The model achieves a PESQ score of 3.48 with only 0.89M parameters, and a 35K-parameter variant reaches 3.23, outperforming conventional methods at a fraction of the size. This parameter efficiency makes it suitable for edge deployment in voice-controlled systems, including logistics and supply chain applications.

Jun 21, 2026 1 source