What is the impact of valence-arousal-dominance (VAD) representation format versus categorical emotion annotat

Abstract

Abstract: Current large speech language models (Speech-LLMs) often exhibit limitations in empathetic reasoning, primarily due to the absence of training datasets that integrate both contextual content and paralinguistic cues. In this work, we propose two approaches to incorporate contextual paralinguistic information into model training: (1) an explicit method that provides paralinguistic metadata (e.g., emotion annotations) directly to the LLM, and (2) an implicit method that automatically generates novel training question-answer (QA) pairs using both categorical and dimensional emotion annotations alo

Research Question

What is the impact of valence-arousal-dominance (VAD) representation format versus categorical emotion annotations on the performance of OpenPangu-7B-MLA in empathetic speech understanding across different genres?

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