A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition

Speech emotion recognition (SER) is an essential part of human-computer interaction. In this paper, we propose an SER network based on a Graph Isomorphism Network with Weighted Multiple Aggregators (WMA-GIN), which can effectively handle the problem of information confusion when neighbour nodes' features are aggregated together in GIN structure. Moreover, a Full-Adjacent (FA) layer is adopted for alleviating the over-squashing problem, which is existed in all Graph Neural Network (GNN) structures, including GIN. Furthermore, a multi-phase attention mechanism and multi-loss training strategy are employed to avoid missing the useful emotional information in the stacked WMA-GIN layers. We evaluated the performance of our proposed WMA-GIN on the popular IEMOCAP dataset. The experimental results show that WMA-GIN outperforms other GNN-based methods and is comparable to some advanced non-graph-based methods by achieving 72.48% of weighted accuracy (WA) and 67.72% of unweighted accuracy (UA).Comment: Accepted by Interspeech 202

Plasma Resolvin D2 to Leukotriene B4 Ratio Is Reduced in Diabetic Patients with Ischemic Stroke and Related to Prognosis

Background. Diabetes mellitus (DM) aggravates symptoms and prognosis of acute ischemic stroke (AIS), and inflammation plays an important role therein. Resolvin D2 (RvD2) is one of the specialized pro-resolving mediators (SPMs), while leukotriene B4 (LTB4) is a classic proinflammatory mediator. The ratio of RvD2 to LTB4 is an index of pro-resolving/proinflammatory balance. We aim to explore the role of RvD2/LTB4 ratio in ischemic stroke complicated with DM. Methods. The plasma levels of RvD2 and LTB4 were analyzed by enzyme immunoassay in stroke patients with DM (DM + AIS group) or without DM (nonDM+AIS group). Patients were followed up at 90 days after stroke onset, and modified Rankin Score (mRS) was assessed. The association of RvD2/LTB4 ratio with stroke severity and prognosis was also analyzed. Results. The plasma levels of RvD2 were positively correlated to LTB4. The RvD2/LTB4 ratio in DM + AIS group was lower than that in the nonDM+AIS group. No correlation was found between the RvD2/LTB4 ratio and infarct size or NIHSS score. The RvD2/LTB4 ratio at baseline was significantly lower in the poor prognosis group (mRS≥3) than that in the good prognosis group (mRS≤2). Conclusions. Our study indicated that the balance between pro-resolving and proinflammatory mediators was impaired by diabetes in ischemic stroke. The RvD2/LTB4 ratio may serve as a biomarker of prognosis for ischemic stroke