arXiv:2605.28063v1 Announce Type: cross Abstract: 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 f
The rapid advancements in generative AI, particularly in multimodal models, are pushing the boundaries of audio synthesis, making unified speech and sound generation a logical next step.
This development allows for more natural and flexible audio content creation directly from text, potentially lowering production barriers for various media and applications.
The ability to generate complex, unified audio from free-form text prompts eliminates the need for disjointed pipelines or structured inputs, simplifying the creative process.
- · Content creators
- · Gaming industry
- · Audio software developers
- · AI research labs
- · Companies relying on fragmented audio production workflows
- · Basic text-to-speech providers
- · Manual foley artists for simple compositions
More sophisticated and nuanced AI-generated audio accessible to a wider user base.
Increased demand for processing power and ethical guidelines for deepfake audio prevention.
Potential for entirely new forms of interactive storytelling and immersive media experiences driven by real-time, personalized audio generation.
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Read at arXiv cs.AI