Score-informed Source Separation for Music Signals

摘要: In recent years, the processing of audio recordings by exploiting additional musical knowledge has turned out to be a promising research direction. particular, note information as specified score or MIDI file been employed support various tasks such source separation, parameterization, performance analysis, instrument equalization. this contribution, we provide an overview approaches for score-informed separation and illustrate their potential discussing innovative applications interfaces. Additionally, some basic principles behind these approaches, demonstrate how can integrated into well-known non-negative matrix factorization (NMF) framework. Finally, compare approach advanced methods based on parametric models.