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Integrate natural-language stylistic control in DiffRhythm

Develop and evaluate natural language conditioning mechanisms for DiffRhythm to achieve fine-grained stylistic control through textual descriptions, replacing or augmenting the current short audio clip style references to enable flexible style specification without audio prompts.

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Background

The current DiffRhythm framework uses short audio clips as style prompts to control the generated song’s style. The authors explicitly state that this aspect remains unexplored for natural language conditioning, which could provide finer-grained stylistic control and improve flexibility by removing the need for audio references.

They identify textual descriptions as an alternative conditioning modality but leave the design and validation of such mechanisms as an unresolved direction.

References

While DiffRhythm demonstrates good capability to generate high-quality full-length songs, two important aspects remain unexplored in our current framework. Second, the model employs short audio clips as style references, integrating natural language conditioning mechanisms would enable finer-grained stylistic control through textual descriptions.

— DiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion (2503.01183 - Ning et al., 3 Mar 2025) in Section: Limitations