Modeling conversational emotion as latent regimes using sticky factorial HDP-HMMs over multimodal valence-arousal signals. This framework recovers interpretable emotional phases, enabling context-augmented response logic during unstable affective states.
A framework for edge-based emotion recognition using modality arbitration. Utilizing Dirichlet evidence and Dempster-Shafer theory, the system reconciles conflicting signals from speech, text, and facial micro-expressions to capture predictive uncertainty.
A graph-structured long-term memory engine designed to evolve with users over months of interaction. Mnemosyne utilizes probabilistic recall and "core summaries" to outperform both standard RAG pipelines in dialogue realism and other agentic memory systems in certain LoCoMo benchmark categories.