Published December 17, 2017
| Version v1
Publication
MUSDB18 - a corpus for music separation
Contributors
Others:
- Gracenote, Media Technology Lab ; Gracenote [Emeryville]
- Scientific Data Management (ZENITH) ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Fraunhofer Institute for Digital Media Technology [Ilmenau] (Fraunhofer IDMT) ; Fraunhofer (Fraunhofer-Gesellschaft)
- Music and Audio Research Lab [New York] (MARL) ; New York University [New York] (NYU) ; NYU System (NYU)-NYU System (NYU)
- ANR-15-CE38-0003,KAMoulox,Démixage en ligne de larges archives sonores(2015)
Description
The sigsep musdb18 data set consists of a total of 150 full-track songs of different styles and includes both the stereo mixtures and the original sources, divided between a training subset and a test subset.Its purpose is to serve as a reference database for the design and the evaluation of source separation algorithms. The objective of such signal processing methods is to estimate one or more sources from a set of mixtures, e.g. for karaoke applications. It has been used as the official dataset in the professionally-produced music recordings task for SiSEC 2018, which is the international campaign for the evaluation of source separation algorithms.
Abstract
MUSDB18: a corpus for music source separationAdditional details
Identifiers
- URL
- https://inria.hal.science/hal-02190845
- URN
- urn:oai:HAL:hal-02190845v1
Origin repository
- Origin repository
- UNICA