most citedA Multimodal Symphony: Integrating Taste and Sound through Generative AI

2 citations · 2 across the 8 of their papers we have counts for

collaborators

10 papers

eess.SP2026

Fluxion: A Differentiable DSP Runtime from Training GPU to Real-Time Edge

Matteo Spanio, Antonio Rodà

Native real-time audio engines meet audio deadlines but are hard to connect to machine-learning workflows, while tensor frameworks integrate with machine learning but process audio…

cs.HC2026

PANEL: An Open-Source, Self-Hosted Web Platform for Human Evaluation of Generative Models

Matteo Spanio, Andrea Poltronieri, Mart\'ın Rocamora

Human judgement is the reference measure for evaluating generative models, yet the software used to collect it lags behing the methodology. Researchers adapt listening-test framewo…

cs.HC2026

Cross-cultural evaluation of taste-sound correspondences in AI-generated music

Matteo Spanio, Massimiliano Zampini, Luisa Torri +5

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…

cs.SD2026

A Quantized Native Runtime for On-Device Semantic Audio Generation

Matteo Spanio, Antonio Rodà

Semantic audio applications increasingly require controllable generation on commodity and embedded hardware rather than through framework-heavy datacenter stacks. We present \texti…

cs.SD2026

Taste-aware music retrieval from audio embeddings

Matteo Spanio, Antonio Rodà

Crossmodal correspondences between sound and taste are well established in psychology and neuroscience, but largely absent from content-based multimedia retrieval. We formalise tas…

cs.SD2026

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…

cs.SD2026

Multimodal Dataset Normalization and Perceptual Validation for Music-Taste Correspondences

Matteo Spanio, Valentina Frezzato, Antonio Rodà

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 muse…

cs.SD2026

BMdataset: A Musicologically Curated LilyPond Dataset

Matteo Spanio, Ilay Guler, Antonio Rodà

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…

eess.AS2025

TorchFX: A modern approach to Audio DSP with PyTorch and GPU acceleration

Matteo Spanio, Antonio Rodà

The burgeoning complexity and real-time processing demands of audio signals necessitate optimized algorithms that harness the computational prowess of Graphics Processing Units (GP…

cs.SD2025★ 2 cited

A Multimodal Symphony: Integrating Taste and Sound through Generative AI

Matteo Spanio, Massimiliano Zampini, Antonio Rodà +1

In recent decades, neuroscientific and psychological research has traced direct relationships between taste and auditory perceptions. This article explores multimodal generative mo…