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Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Oral (top 1%) @ ICLR 2024
Michele Mancusi, Giorgio Mariani, Irene Tallini, Emilian Postolache, Luca Cosmo, Emanuele Rodolà
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Accelerating transformer inference for translation via parallel decoding
ACL 2023
Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà
Accelerating transformer inference for translation via parallel decoding
Latent Autoregressive Source Separation
AAAI 2023
Michele Mancusi, Emilian Postolache, Giorgio Mariani, Andrea Santilli, Luca Cosmo, Emanuele Rodolà
Latent Autoregressive Source Separation
Towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
I3DA 2023
Michele Mancusi, Nicola Zonca, Emanuele Rodolà, Silvia Zuffi
Towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
Exploiting Music Source Separation For Singing Voice Detection
MLSP 2023
Michele Mancusi, Francesco Bonzi, Simone Del Deo, Pierfrancesco Melucci, Maria Stella Tavella, Loreto Parisi, Emanuele Rodolà
Exploiting Music Source Separation For Singing Voice Detection