Music Composition with RNN

نویسنده

  • Jason Wang
چکیده

Music composition is an interesting problem that tests the creativity capacities of artificial intelligence. Creating original pieces of music is not much different than generating free text or any other form of sequential data such as stock price trends. We apply simple algorithms such as the n-gram model to explore the space of music composition. Then we explore the ability of the RNN and the LSTM in generating original and creative pieces of music.

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تاریخ انتشار 2016