[
    {
        "id": "osp-22841",
        "type": "article-journal",
        "title": "From Script to Drama: An Agentic Framework for Controllable Multi-Speaker Dialogue TTS",
        "author": [
            {
                "family": "Xia",
                "given": "Kangxiang"
            },
            {
                "family": "Zhu",
                "given": "Xinfa"
            },
            {
                "family": "Hu",
                "given": "HangRui"
            },
            {
                "family": "Huang",
                "given": "Kexin"
            },
            {
                "family": "Tian",
                "given": "Wenjie"
            },
            {
                "family": "Jiang",
                "given": "Ziyue"
            },
            {
                "family": "Mu",
                "given": "Bingshen"
            },
            {
                "family": "Hu",
                "given": "Jingbin"
            },
            {
                "family": "He",
                "given": "Ting"
            },
            {
                "family": "Xie",
                "given": "Lei"
            },
            {
                "family": "Xu",
                "given": "Jin"
            }
        ],
        "URL": "https://omanscience.com/en/articles/from-script-to-drama-an-agentic-framework-for-controllable-multi-speaker-dialogue-tts",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2026
                ]
            ]
        },
        "abstract": "Multi-speaker dialogue TTS requires natural speech generation, consistent speaker identity, coherent cross-turn transitions, and fine-grained control of expressive attributes such as emotion, speaking rate, and loudness. These requirements are difficult to satisfy reliably with one-shot generation, especially in long-form dialogue. We propose a controllable multi-speaker dialogue TTS framework that formulates synthesis as critique-driven iterative refinement. Its speech backbone, ControlEdit-TTS, unifies instruction-following synthesis and natural-language-guided attribute editing, enabling correction of expressive errors without full regeneration. The framework further performs hierarchical utterance-level and scene-level critique, routing detected issues to editing, resynthesis, or timing adjustment. Experiments on a bilingual Chinese--English dialogue benchmark show improved utterance-level instruction following, better dialogue-level preference than direct dialogue models and agentic baselines, and more effective refinement than regeneration-only alternatives while preserving speaker identity. Ablations further confirm the benefits of scene-level critique and edit-based correction."
    }
]