Difference between revisions of "Applications of Neural Networks to Music Generation"
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| − | + | Music generation, alternatively termed algorithmic composition, or music synthesis, is the process of generating music via an algorithm (i.e. some formal set of rules). Algorithmic music composition has been a part of the human experience for millennia – transcending cultures and continents. It ranges from any music that is generated without human interference – e.g. wind chimes – to music generated by intelligent systems. The application of neural networks to music generation poses particular interest due to the similarity between music composition and natural language structuring. A similar challenge to that of language is that any given instance of “music” can contain more than just one music unit (i.e. a note). It can consist of several notes together (a chord) and/or other qualities such as volume, much like language. The creation of “convincing” music, or music that sounds like it could be naturally produced by a human, is riddled with challenges. Although not all algorithmic music has aimed to produce human-like creations, that goal has been at the forefront of ongoing research. | |
== A Brief History == | == A Brief History == | ||
Revision as of 23:39, 21 October 2022
By Anna Mikhailova
Note: this page is incomplete. Music generation, alternatively termed algorithmic composition, or music synthesis, is the process of generating music via an algorithm (i.e. some formal set of rules). Algorithmic music composition has been a part of the human experience for millennia – transcending cultures and continents. It ranges from any music that is generated without human interference – e.g. wind chimes – to music generated by intelligent systems. The application of neural networks to music generation poses particular interest due to the similarity between music composition and natural language structuring. A similar challenge to that of language is that any given instance of “music” can contain more than just one music unit (i.e. a note). It can consist of several notes together (a chord) and/or other qualities such as volume, much like language. The creation of “convincing” music, or music that sounds like it could be naturally produced by a human, is riddled with challenges. Although not all algorithmic music has aimed to produce human-like creations, that goal has been at the forefront of ongoing research.
