Phonetically-Anchored Domain Adaptation for Cross-Lingual Speech Emotion Recognition

Phonetic-Anchored Domain Adaptation in Cross-Lingual Speech Emotion Recognition Academic Background Speech Emotion Recognition (SER) has broad application prospects in intelligent agents, social robots, voice assistants, and automated call center systems. With the development of globalization, the demand for cross-lingual SER is increasing. However...

Facial 3D Regional Structural Motion Representation Using Lightweight Point Cloud Networks for Micro-Expression Recognition

3D Regional Structural Motion Representation Using Lightweight Point Cloud Networks for Micro-Expression Recognition Academic Background Micro-expressions (MEs) are brief and subtle facial expressions in human emotional expression, typically lasting between 1⁄25 and 1⁄5 of a second. Due to their spontaneity, rapidity, and difficulty to control, mic...

Multi-scale Hyperbolic Contrastive Learning for Cross-subject EEG Emotion Recognition

Cross-Subject EEG Emotion Recognition Research Based on Multi-Scale Hyperbolic Contrastive Learning Academic Background Electroencephalography (EEG), as a physiological signal, plays an important role in the field of affective computing. Compared with traditional non-physiological cues (such as facial expressions or voice), EEG signals have higher ...

Multimodal Sentiment Analysis with Mutual Information-Based Disentangled Representation Learning

Disentangled Representation Learning in Multimodal Sentiment Analysis Using Mutual Information: An Innovative Study Academic Background With the rapid development of social media, the amount of user-generated multimedia content (such as tweets and videos) has increased dramatically. These multimedia data typically include three modalities: visual (...

Spectro-Temporal Modulations Incorporated Two-Stream Robust Speech Emotion Recognition

Research on Two-Stream Robust Speech Emotion Recognition Based on Spectro-Temporal Modulation Features Academic Background Speech Emotion Recognition (SER) is a technology that identifies emotions by analyzing the emotional content in human speech. It has broad application potential in areas such as human-computer interaction, customer service mana...

An Hα–X-ray Surface-Brightness Correlation for Filaments in Cooling-Flow Clusters

Study on the Hα-X-ray Surface Brightness Correlation of Filamentary Structures in Cooling-Flow Clusters Background Introduction In the large-scale structure of the universe, cooling-flow clusters are a crucial type of celestial system. The cores of these galaxy clusters are typically dominated by massive galaxies (brightest cluster galaxies, BCGs) ...

Compartmentalized dendritic plasticity in the mouse retrosplenial cortex links contextual memories formed close in time

Compartmentalized Dendritic Plasticity in the Mouse Retrosplenial Cortex Links Contextual Memories Formed Close in Time Academic Background Memory formation is a dynamic process where individual memories are stored, updated, and integrated into the framework of other preexisting memories to drive adaptive behavior. Recent studies have shown that th...

Experimental Constraints on the Symmetron Field with a Magnetically Levitated Force Sensor

Experimental Constraints on the Symmetron Field: Breakthrough Research with Magnetically Levitated Force Sensors Academic Background Dark energy is the mysterious force behind the accelerated expansion of the universe, but its essence remains an enigma. To explain the nature of dark energy, scientists have proposed various theories, among which the...

High-Definition Imaging of a Filamentary Connection Between a Close Quasar Pair at z≈3

Filamentary Structure Between High-Redshift Quasar Pairs in the Cosmic Web Academic Background The cosmic web is a core concept in modern cosmology, describing the complex network structure formed by dark matter and gas under gravitational forces. According to Cold Dark Matter (CDM) theory, the cosmic web consists of filamentary structures connecti...

Brain Pericytes and Perivascular Fibroblasts Are Stromal Progenitors with Dual Functions in Cerebrovascular Regeneration After Stroke

Dual Functions of Pericytes and Perivascular Fibroblasts in Cerebrovascular Regeneration After Stroke Academic Background Stroke is one of the leading causes of death and disability worldwide. Current therapeutic interventions are mostly limited to acute thrombolytic treatment or thrombectomy, followed by long-term rehabilitation. However, the long...