People are routinely exposed to music in everyday environments - car, home, restaurant, movie theater, shopping mall - but are frustrated by not being able to learn more about what they hear. They may, for instance, be interested in a particular piece of music and want to know its title and the name of the artist who created it. This project aims to design an algorithm that performs the recognition quickly over a large database of music with over 100K tracks, and furthermore have a low number of false positives while having a high recognition rate.

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