Luca Cerovaz — accepted AI-conference papers

2026

EuleroDec: A Complex-Valued RVQ-VAE for Efficient and Robust Audio Coding

Luca Cerovaz, Michele Mancusi, Emanuele Rodolà

ICASSP 2026poster

Audio codecs power discrete music generative modelling, music streaming and immersive media by shrinking PCM audio to bandwidth-friendly bit-rates. Recent works have gravitated towards processing in the spectral domain; however, spectrogram-domains typically struggle with phase modeling which is nat…

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2026

PHALAR: Phasors for Learned Musical Audio Representations

Davide Marincione, Michele Mancusi, Giorgio Strano, Luca Cerovaz, Donato Crisostomi, Roberto Ribuoli +1

ICML 2026poster

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 contrastive framework achieving a relative accuracy increase of up to $\sim 70\%$ over the state-of-the-art while requi…

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