63 citations · 235 across the 27 of their papers we have counts for
4 papers · 1 filter
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Cinematic Demixing Track
Stefan Uhlich, Giorgio Fabbro, Masato Hirano +14
This paper summarizes the cinematic demixing (CDX) track of the Sound Demixing Challenge 2023 (SDX'23). We provide a comprehensive summary of the challenge setup, detailing the str…
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track
Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai +24
This paper summarizes the music demixing (MDX) track of the Sound Demixing Challenge (SDX'23). We provide a summary of the challenge setup and introduce the task of robust music so…
The Whole Is Greater than the Sum of Its Parts: Improving Music Source Separation by Bridging Network
Ryosuke Sawata, Naoya Takahashi, Stefan Uhlich +2
This paper presents the crossing scheme (X-scheme) for improving the performance of deep neural network (DNN)-based music source separation (MSS) with almost no increasing calculat…
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation
Bac Nguyen, Stefan Uhlich, Fabien Cardinaux
Self-supervised learning (SSL) has recently shown remarkable results in closing the gap between supervised and unsupervised learning. The idea is to learn robust features that are…