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Musical Instrument Signal Separation from Popular Songs

Signal separation from mix has been an interest of research in recent years, and many learning algorithms and variations have been developed. In this paper we focus on separation of specific type of signal with practical application: musical instrument signal separation. The result of such separation can be used by amateur instrument players to listen to their part of a given music more clearly, and learn how to play their part. We experiment with existing learning algorithms to separate a single musical instrument from popular music MP3 file. This experiment will hopefully reveal particular nature of the target instrument and we will be able to extend and modify the learning algorithm to get better performance.