Unified Synthesis of Compositional Speech and Sound from Free-Form Text Prompts
Audio generation has made significant progress, yet synthesizing unified audio where speech and sounds are naturally composited remains a challenge. Current methods either rely on disjoint pipelines, which fail to capture fine-grained interactions, or require structured inputs and external text rewriting, which limits the flexibility of free-form text prompts. In this paper, we introduce a new task: Free-Form-Text-Prompt-to-Unified-Audio generation, which aims to directly synthesize unified audio containing speech, sound, and their composites from unconstrained natural language. To address this task, we propose PlanAudio, a unified, autoregressive LLM-based framework. First, it simplifies...
| Authors | Yuyue Wang, Xihua Wang, Xin Cheng et al. |
|---|---|
| Primary category | cs.SD |
| Published | 27 May 2026 |
| Last updated at source | 27 May 2026 |
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