3 accepted papers
Deep unfolding compressive sensing (CS) has experienced remarkable advancements. However, there still exist two challenges: (1) Many algorithms either use uniform block-based sampling, which ignore the fact that the content of different blocks is different, or allocate the sampling rate referring to…
Multimodal emotion recognition (MER) is important for building humanoid chatbots and has gained increasing attention in recent years. Existing studies have proven that extracting better modality-specific representations, which keep both commonality and individuality information of different modaliti…
Multi-modal emotion recognition (MER) using speech and text has attracted extensive attention because of the easy availability of data for these two modalities. Recently, the self-surprised learning (SSL) pre-trained model has become the state-of-the-art (SOTA) method for the extraction of acoustic…