Abstract: Speech enhancement (SE) models based on deep neural networks (DNNs) have shown excellent denoising performance. However, mainstream SE models often have high structural complexity and large ...

Abstract: Although self-supervised learning approaches have demonstrated tremendous potential in multi-frame depth estimation scenarios, existing methods struggle to perform well in cases involving ...