Landsnes, KristofferMehrabyan, LianaWiklund, VictorLieck, RobertMoss, Fabian ClaudeRohrmeier, Martin Alois2021-12-202021-12-202021-12-202019https://infoscience.epfl.ch/handle/20.500.14299/184036This paper models predictive processing of chords using a corpus of Ludwig van Beethoven’s string quartets. A recently published dataset consisting of expert harmonic analyses of all Beethoven string quartets was used to evaluate an n-gram language model as well as a recurrent neural network (RNN) architecture based on long-short-term memory (LSTM). We compare model performances over different periods of Beethoven’s creative activity and provide a baseline for future research on predictive processing of chords in full Roman numeral representation on this dataset.text::conference output::conference proceedings::conference paper