A music streaming service is developing a feature to find songs that are similar to each other. The raw input for any song is its audio data, which is a very complex, high-dimensional signal. To solve this, engineers design a model component that takes the raw audio as input and outputs a dense, 128-dimensional numerical vector for each song. Briefly explain why creating this compact vector representation is a crucial first step for the song similarity task.