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A statistical model for melody reduction
2021
Future Directions of Music Cognition
unpublished
A commonly-cited reason for the poor performance of automatic chord estimation (ACE) systems within music information retrieval (MIR) is that non-chord tones (i.e., notes outside the supporting harmony) contribute to error during the labeling process (e.g., Chen & Su, 2018; Masada & Bunescu, 2017) . Despite the prevalence of machine-learning approaches in MIR, there are cases where alternative approaches provide a simpler alternative while allowing for insights into musicological practices. In
doi:10.18061/fdmc.2021.0007
fatcat:qaueeron7faszge26afpl4ul7y