  We outline a solution to the challenge of musical phrase segmentation that
uses grammatical induction algorithms, a class of algorithms which infer a
context-free grammar from an input sequence. We analyze the performance of five
grammatical induction algorithms on three datasets using various musical
viewpoint combinations. Our experiments show that the LONGESTFIRST algorithm
achieves the best F1 scores across all three datasets and that input encodings
that include the duration viewpoint result in the best performance.
