View source for Artificial Intelligence Music Creation with Neural Networks

''by Sid Singh''

 Artificial Intelligence (AI) music creation is using generative artificial intelligence to produce music, often that aims to resemble human-made music. [https://en.wikipedia.org/wiki/Generative_artificial_intelligence]
To replicate human-created music compositions, a deep learning model is used. Deep learning models, a type of artificial neural network, are representations of the human brain that perform tasks such as classification and representation, such as finding a common note or pattern in music. [https://en.wikipedia.org/wiki/Deep_learning] The models use training data, such as human-made music, as well as hidden ("deep") layers to train a randomized input into the desired output -- artificially created music that resembles a human creation. The use and popularity of music created by generative AI has skyrocketed in recent years [https://mixmag.net/read/73-of-producers-believe-ai-music-generators-could-replace-them-new-data-shows-tech], with its reception being a mixed bag of critics and believers. [https://www.nytimes.com/2023/05/11/learning/what-students-are-saying-about-ai-generated-music.html]

'''History of AI Music'''
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 Artists and engineers have aimed to transcribe and recreate music since the 19th century, when music rolls were introduced commercially. Music rolls, typically made for reproducing piano, are sheets of paper with holes that model a piece of music [https://www.pianola.org/history/history_rolls.cfm]. When these sheets are moved over a tracker bar, the instrument recreates the piece. The use of