Multimodal Dataset Normalization and Perceptual Validation for Music-Taste Correspondences
Music and food traditions are both intangible cultural heritage, and the links between them, how a sound can make a taste seem sweeter or more bitter, are increasingly used in museum, exhibition and gastronomic-tourism settings. Modelling those links computationally runs into a data bottleneck familiar across cultural heritage computing: expert annotation is slow and costly, so the annotated collections that result are small. The usual remedy is to enlarge a collection automatically, labelling it with a model trained on the small annotated one. Such synthetic labels are rarely checked, either against the original annotations or against people. We provide both checks. Experiment 1 asks whe...
| Authors | Matteo Spanio, Valentina Frezzato, Antonio Rodà |
|---|---|
| Primary category | cs.SD |
| Published | 12 April 2026 |
| Last updated at source | 13 September 2026 |
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