A Comparison of Statistical and Rule-Based Models of Melodic Segmentation.
Marcus Thomas Pearce, Daniel Müllensiefen, Geraínt A. Wiggins · 2008
We introduce a new model for melodic segmentation based on information-dynamic analysis of melodic structure. The performance of the model is compared to several existing algorithms in predicting the annotated phrase boundaries in a large corpus of folk music.