528 citations · 690 across the 8 of their papers we have counts for
10 papers
Music-Source-Separation-Training (MSST): A Unified Framework for Training and Evaluating Music Demixing Models
Roman Solovyev, Ilya Kiselev, Alexander Stempkovskiy +1
Music Source Separation (MSS), the task of recovering individual sound components (stems) from a polyphonic mixture, is central to applications ranging from karaoke and remixing to…
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…
Benchmarks and leaderboards for sound demixing tasks
Roman Solovyev, Alexander Stempkovskiy, Tatiana Habruseva
Music demixing is the task of separating different tracks from the given single audio signal into components, such as drums, bass, and vocals from the rest of the accompaniment. Se…
3D Convolutional Neural Networks for Stalled Brain Capillary Detection
Roman Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva
Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions such as stalled blood flow in cerebral capillaries are associated with cognitive decline…
Roof material classification from aerial imagery
Roman Solovyev
This paper describes an algorithm for classification of roof materials using aerial photographs. Main advantages of the algorithm are proposed methods to improve prediction accurac…