State of the art: First algorithm-generated song from Google’s Magenta

A 90-second piano melody with only four notes as a base was generated by one of Google’s machine learning systems, becoming the first work produced by Google’s Magenta program, which is designed to use machines to create art and music systems. If you missed out on Google Magenta’s first piano recital, you can give it a listen here. While the minute-and-a-half long melody may not turn out to be the summer jam of 2016, it is the first musical art developed with an algorithm. The drums and percussion were not created by Magenta, but added later for emphasis. The algorithm uses a trained neural network that harnesses electronic networks of “neurons” that are based on the structure of the brain. The Magenta program was built off open-source machine learning software…


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