{"ID":2878362,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.17623","arxiv_id":"2508.17623","title":"EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Spoken Dialogue Systems","abstract":"Speech emotions play a crucial role in human-computer interaction, shaping engagement and context-aware communication. Despite recent advances in spoken dialogue systems, a holistic system for evaluating emotional reasoning is still lacking. To address this, we introduce EMO-Reasoning, a benchmark for assessing emotional coherence in dialogue systems. It leverages a curated dataset generated via text-to-speech to simulate diverse emotional states, overcoming the scarcity of emotional speech data. We further propose the Cross-turn Emotion Reasoning Score to assess the emotion transitions in multi-turn dialogues. Evaluating seven dialogue systems through continuous, categorical, and perceptual metrics, we show that our framework effectively detects emotional inconsistencies, providing insights for improving current dialogue systems. By releasing a systematic evaluation benchmark, we aim to advance emotion-aware spoken dialogue modeling toward more natural and adaptive interactions.","short_abstract":"Speech emotions play a crucial role in human-computer interaction, shaping engagement and context-aware communication. Despite recent advances in spoken dialogue systems, a holistic system for evaluating emotional reasoning is still lacking. To address this, we introduce EMO-Reasoning, a benchmark for assessing emotion...","url_abs":"https://arxiv.org/abs/2508.17623","url_pdf":"https://arxiv.org/pdf/2508.17623v2","authors":"[\"Jingwen Liu\",\"Kan Jen Cheng\",\"Jiachen Lian\",\"Akshay Anand\",\"Rishi Jain\",\"Faith Qiao\",\"Robin Netzorg\",\"Huang-Cheng Chou\",\"Tingle Li\",\"Guan-Ting Lin\",\"Gopala Anumanchipalli\"]","published":"2025-08-25T03:01:40Z","proceeding":"cs.CL","tasks":"[\"cs.CL\",\"eess.AS\"]","methods":"[]","has_code":false}