On loss functions and evaluation metrics for music source separation

16 February 2022

Papers citing "On loss functions and evaluation metrics for music source separation"

6 / 6 papers shown

Title
Fast Text-to-Audio Generation with Adversarial Post-Training Zachary Novack Zach Evans Zack Zukowski Josiah Taylor CJ Carr ... Adnan Al-Sinan Gian Marco Iodice Julian McAuley Taylor Berg-Kirkpatrick Jordi Pons 33 0 0 13 May 2025
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline Minwoo Oh Minsu Park Eunil Park 65 0 0 30 Apr 2025
Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models Tornike Karchkhadze M. Izadi Shlomo Dubnov DiffM 47 2 0 31 Dec 2024
Adversarial Permutation Invariant Training for Universal Sound Separation Emilian Postolache Jordi Pons Santiago Pascual Joan Serrà VLM 28 6 0 21 Oct 2022
Music Separation Enhancement with Generative Modeling N. Schaffer Boaz Cogan Ethan Manilow Max Morrison Prem Seetharaman Bryan Pardo 34 9 0 26 Aug 2022
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 589 0 08 Jun 2018