collaborators

5 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.SD2025

SteerMusic: Enhanced Musical Consistency for Zero-shot Text-guided and Personalized Music Editing

Xinlei Niu, Kin Wai Cheuk, Jing Zhang +8

Music editing is an important step in music production, which has broad applications, including game development and film production. Most existing zero-shot text-guided editing me…

cs.SD2025

ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors

Junghyun Koo, Marco A. Martínez-Ramírez, Wei-Hsiang Liao +3

Music mastering style transfer aims to model and apply the mastering characteristics of a reference track to a target track, simulating the professional mastering process. However,…

cs.SD2025

High-Resolution Speech Restoration with Latent Diffusion Model

Tushar Dhyani, Florian Lux, Michele Mancusi +3

Traditional speech enhancement methods often oversimplify the task of restoration by focusing on a single type of distortion. Generative models that handle multiple distortions fre…

cs.SD2025

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer

Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk +8

Music timbre transfer is a challenging task that involves modifying the timbral characteristics of an audio signal while preserving its melodic structure. In this paper, we propose…