MusicMapper is a web application that allows nonexpert users to find and visualize distinctive samples from a song without any manual intervention, and enables remixing by having users play back clusterings of such samples. This is accomplished by splitting audio from the Soundcloud API into appropriately-sized spectrograms, and applying the t-SNE algorithm to visualize these spectrograms in two dimensions. Next, we apply k-means to guide the user's eye toward related clusters and set $k=26$ to enable playback of the clusters by pressing keys on an ordinary keyboard. We present the source code (https://github.com/fatsmcgee/MusicMappr) and a demo video (http://youtu.be/mvD6e1uiO8k) of the MusicMapper web application that can be run in most modern browsers.
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