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- W4384693810 abstract "Abstract This chapter explores the nature of cadence perception through the lens of computational models trained on various corpora. It constructs various computational models of cadence perception that extract from the musical surface a set of features reflecting information that a human listener could also be expected to apprehend. These features are then provided to a classifier that attempts to identify cadences based on the features. These can be interpreted as simulations of human cadence perception. Later, the author describes results from such simulation trials in which cadences are identified using various musical features, including linear patterns in the melody and bass, information content of individual notes, and harmonic functions inferred from scale-degree counts." @default.
- W4384693810 created "2023-07-20" @default.
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- W4384693810 date "2023-07-18" @default.
- W4384693810 modified "2023-09-23" @default.
- W4384693810 title "Models of Classical Cadence Perception" @default.
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- W4384693810 doi "https://doi.org/10.1093/oxfordhb/9780190945442.013.26" @default.
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