2026-07-23T16:56:29Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:3467 2024-03-06T10:27:58Z ddc:004 open_access

Score-Informed Source Separation for Music Signals Ewert, Sebastian Müller, Meinard Audio processing music signals source separation musical score alignment music synchronization non-negative matrix factorization parametric mod In recent years, the processing of audio recordings by exploiting additional musical knowledge has turned out to be a promising research direction. In particular, additional note information as specified by a musical score or a MIDI file has been employed to support various audio processing tasks such as source separation, audio parameterization, performance analysis, or instrument equalization. In this contribution, we provide an overview of approaches for score-informed source separation and illustrate their potential by discussing innovative applications and interfaces. Additionally, to illustrate some basic principles behind these approaches, we demonstrate how score information can be integrated into the well-known non-negative matrix factorization (NMF) framework. Finally, we compare this approach to advanced methods based on parametric models. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Sebastian Ewert and Meinard Müller 2012 Is Part Of Dagstuhl Follow-Ups, Volume 3, Multimodal Music Processing (2012) InCollection Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DFU.Vol3.11041.73 urn:nbn:de:0030-drops-34670 https://drops.dagstuhl.de/entities/document/10.4230/DFU.Vol3.11041.73 eng https://creativecommons.org/licenses/by/3.0/legalcode