8 papers
Cross-cultural evaluation of taste-sound correspondences in AI-generated music
Matteo Spanio, Massimiliano Zampini, Luisa Torri +6
Sonic seasoning research has shown that listeners attribute systematic gustatory and emotional meaning to sound, and text-to-music generative artificial intelligence has recently b…
A Quantized Native Runtime for On-Device Semantic Audio Generation
Matteo Spanio, Antonio RodÃ
Semantic audio applications increasingly require controllable generation on commodity and embedded hardware rather than through framework-heavy datacenter stacks. We present \texti…
Taste-aware music retrieval from audio embeddings
Matteo Spanio, Antonio RodÃ
Crossmodal correspondences between sound and taste are well established in psychology and neuroscience, but largely absent from content-based multimedia retrieval. We formalise tas…
Can LLMs understand LilyPond? A benchmark for symbolic music generation and understanding
Matteo Spanio, Mohammad Torabi, Andrea Poltronieri +1
Symbolic music evaluation for large language models remains fragmented across representations, datasets, and metrics. We introduce LilyBench, a LilyPond-based benchmark that jointl…
BMdataset: A Musicologically Curated LilyPond Dataset
Matteo Spanio, Ilay Guler, Antonio RodÃ
Symbolic music research has relied almost exclusively on MIDI-based datasets; text-based engraving formats such as LilyPond remain unexplored for music understanding. We present BM…
Multimodal Dataset Normalization and Perceptual Validation for Music-Taste Correspondences
Matteo Spanio, Valentina Frezzato, Antonio RodÃ
Collecting large, aligned cross-modal datasets for music-flavor research is difficult because perceptual experiments are costly and small by design. We address this bottleneck thro…