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