Improving Source Separation by Explicitly Modeling Dependencies Between Sources

28 March 2022

Papers citing "Improving Source Separation by Explicitly Modeling Dependencies Between Sources"

8 / 8 papers shown

Title
Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models Tornike Karchkhadze M. Izadi Shlomo Dubnov DiffM 39 2 0 31 Dec 2024
Improving Source Extraction with Diffusion and Consistency Models Tornike Karchkhadze M. Izadi Shuo Zhang DiffM 74 1 0 09 Dec 2024
Source Separation of Multi-source Raw Music using a Residual Quantized Variational Autoencoder Leonardo Berti DRL 19 0 0 12 Aug 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems Jiawei Zhang Jiaxin Zhuang Cheng Jin Gen Li Yuantao Gu DiffM 71 1 0 11 Jun 2024
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models Emilian Postolache Giorgio Mariani Luca Cosmo Emmanouil Benetos Emanuele Rodolà DiffM 35 9 0 18 Mar 2024
Multi-Source Contrastive Learning from Musical Audio C. Garoufis Athanasia Zlatintsi Petros Maragos 19 6 0 14 Feb 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation Giorgio Mariani Irene Tallini Emilian Postolache Michele Mancusi Luca Cosmo Emanuele Rodolà DiffM 22 36 0 04 Feb 2023
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity Ethan Manilow G. Wichern Prem Seetharaman Jonathan Le Roux 49 122 0 18 Sep 2019