Score-Informed Source Separation for Music Signals

Authors Sebastian Ewert, Meinard Müller

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Sebastian Ewert
Meinard Müller

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Sebastian Ewert and Meinard Müller. Score-Informed Source Separation for Music Signals. In Multimodal Music Processing. Dagstuhl Follow-Ups, Volume 3, pp. 73-94, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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.
  • Audio processing
  • music signals
  • source separation
  • musical score
  • alignment
  • music synchronization
  • non-negative matrix factorization
  • parametric mod


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