3 papers
cs.SD2026
PHALAR: Phasors for Learned Musical Audio Representations
Davide Marincione, Michele Mancusi, Giorgio Strano +4
Stem retrieval, the task of matching missing stems to a given audio submix, is a key challenge currently limited by models that discard temporal information. We introduce PHALAR, a…
cs.LG2025
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
Davide Marincione, Donato Crisostomi, Roberto Dessi +2
Foundation models capable of generalizing across species and tasks represent a promising new frontier in bioacoustics, with NatureLM being one of the most prominent examples. While…
cs.SD2025
LoopGen: Training-Free Loopable Music Generation
Davide Marincione, Giorgio Strano, Donato Crisostomi +2
Loops--short audio segments designed for seamless repetition--are central to many music genres, particularly those rooted in dance and electronic styles. However, current generativ…