In this chapter we show in what context we use persistent homology for musical analysis. More specifically, we are going to explain how we turn a musical score into a filtration, in order to extract a topological signature from it using barcodes. This is what we call Topological Data Analysis, which we will introduce in the first section. We will then show how we apply this process to musical scores, using the DFT as a metric.