Introduction

Imagine sitting at a café (or “other” public venue) and you hear a song playing on the stereo. You decide that you really like it, but you don’t know the name of the song. There’s a solution for that. Software song identification has been a topic of interest for years. However, it is computationally difficult to tackle this problem using conventional algorithms. Frequency analysis provides for a fast and accurate solution to this problem, and we decided to use this analysis to come up with a fun project idea. The main purpose of our project was to be able to accurately match a noisy song segment with a song in our song library. The company Shazam was our main inspiration and we started out by studying how Shazam works.