TF-Mamba-DPHNet: a time-frequency state-space and dual-path interaction framework with hybrid cross-scale feature calibration for speech enhancement
Speech enhancement plays a fundamental role in improving the perceptual quality and intelligibility of speech signals degraded by noise. Conventional U-Net architectures effectively capture local spectral information but struggle to model long-range dependencies and may allow residual noise to propagate through ski...