A Model Comparison for Chord Prediction on the Annotated Beethoven Corpus
This 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.
Landsnes_et_al._-_2019_-_A_Model_Comparison_for_Chord_Prediction_on_the_Ann.pdf
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