3 accepted papers
This study aims to enhance the performance of computer-aided screening systems in early breast cancer screening by adopting multi-modality and multi-task strategies. Therefore, we propose BCS-Net: Multi-Task Breast Cancer Screening Network Enhanced by Multi-modality Attention, which targets three ke…
In recent speech enhancement (SE) research, transformer and its variants have emerged as the predominant methodologies. However, the quadratic complexity of the self-attention mechanism imposes certain limitations on practical deployment. Mamba, as a novel state-space model (SSM), has gained widespr…
Single-channel speech enhancement is a challenging ill-posed problem focused on estimating clean speech from degraded signals. Existing studies have demonstrated the competitive performance of combining convolutional neural networks (CNNs) with Transformers in speech enhancement tasks. However, exis…