SsgCaps: A controlled dataset for the evaluation of sound scene generation algorithms
Sound Scene Generation is about the automatic synthesis of artificial sound scenes. We introduce SsgCaps, a publicly available dataset of human-engineered sound scenes wherein each scene matches a precisely structured prompt that guides the sampling process. The corresponding prompts are sampled from a predefined action-based typology that allows extensive sampling while retaining plausibility. SsgCaps is a sound scene dataset derived from the unpublished reference dataset for Task 7 of the 2024 DCASE Challenge edition, which contained private-and public-domain audio samples. In contrast, SsgCaps contains only public-domain audio samples, allowing us to open this dataset to the community....
| Authors | Modan Tailleur, Junwon Lee, Laurie M Heller et al. |
|---|---|
| Primary category | cs.GR |
| Published | 22 September 2026 |
| Last updated at source | 22 September 2026 |
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