Multimodal Hidden Markov Models for Persistent Emotional State Tracking

ArXi:2605.12838v1 Announce Type: new Tracking an interpretable emotional arc of a conversation via the sentiment of individual utterances processed as a whole is central to both understanding and guiding communication in applied, especially clinical, conversational contexts. Existing approaches to emotion recognition operate at the utterance level, obscuring the persistent phases that characterize real conversational dynamics.