A Comparison of Statistical and Rule-Based Models of Melodic Segmentation

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.

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