Published August 3, 2018
| Version v1
Book section
Applying source separation to music
Contributors
Others:
- Northwestern University [Evanston]
- 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)
- University of Rochester [USA]
- Signal, Statistique et Apprentissage (S2A) ; Laboratoire Traitement et Communication de l'Information (LTCI) ; Institut Mines-Télécom [Paris] (IMT)-Télécom Paris ; Institut Mines-Télécom [Paris] (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris ; Institut Mines-Télécom [Paris] (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)
- Département Images, Données, Signal (IDS) ; Télécom ParisTech
- ANR-15-CE38-0003,KAMoulox,Démixage en ligne de larges archives sonores(2015)
Description
Separation of existing audio into remixable elements is very useful to repurpose music audio. Applications include upmixing video soundtracks to surround sound (e.g. home theater 5.1 systems), facilitating music transcriptions, allowing better mashups and remixes for disk jockeys, and rebalancing sound levels on multiple instruments or voices recorded simultaneously to a single track. In this chapter, we provide an overview of the algorithms and approaches designed to address the challenges and opportunities in music. Where applicable, we also introduce commonalities and links to source separation for video soundtracks, since many musical scenarios involve video soundtracks (e.g. YouTube recordings of live concerts, movie sound tracks). While space prohibits describing every method in detail, we include detail on representative music‐specific algorithms and approaches not covered in other chapters. The intent is to give the reader a high‐level understanding of the workings of key exemplars of the source separation approaches applied in this domain.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/hal-01945320
- URN
- urn:oai:HAL:hal-01945320v1
Origin repository
- Origin repository
- UNICA