We present a technique for partitioning an audio file into maximally-sized segments having nearly uniform spectral content, ideally corresponding to notes or chords. Our method uses dynamic programming to globally optimize a measure of simplicity or homogeneity of the intervals in the partition. Here we have focused on an entropy-like measure, though there is considerable flexibility in choosing this measure. Experiments are presented for several musical scenarios. 