BiCFlow-MER: Orchestrating Discriminative and Generative Multimodal Emotion Recognition via Conditional Transport

arXiv:2609.27615 · cs.AI, cs.SD · Submitted 2026-09-23 · Read on arXiv

cs.AI, cs.SD

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Consistency — 6× in this paper · explained in 3 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Rectified Flow — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Regularization — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Adaptive Geometric Classification Head — 2× in this paper
• Affective Computing — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Bidirectional Generative Decision — 2× in this paper
• Calibration — 2× in this paper · explained in 7 episodes
• Contrastive Log-ratio Upper Bound — 2× in this paper
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Bidirectional Conditional Flow for Multimodal Emotion Recognition — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Flow Matching — 1× in this paper · explained in 7 episodes
• Fusion Acoustic-Semantic — 1× in this paper
• Generative Models — 1× in this paper · explained in 2 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 3 episodes

Sources

• MMER: Multimodal Multi-task Learning for Speech Emotion Recognition
• DeBERTa: Decoding-enhanced BERT with Disentangled Attention
• When Tone and Words Disagree: Towards Robust Speech Emotion Recognition under Acoustic-Semantic Conflict
• Auto-Encoding Variational Bayes
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• Gen-SER: When the generative model meets speech emotion recognition
• AmbER$^2$: Dual Ambiguity-Aware Emotion Recognition Applied to Speech and Text

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection