The Potential of Deep Learning in Music Composition

Deep learning, particularly the transformer architecture, has shown immense potential in a wide range of tasks. This includes music composition, where machine learning can assist composers in generating new ideas and speeding up the creative process. By training models with symbolic music datasets, such as MIDI files, researchers have been able to generate melodies and compositions. The use of deep learning allows for the generalization of music rules without the need for explicit coding, enabling the creation of new models that can produce stylized music. While deep learning models may still lack the ability to understand motifs and develop ideas like human composers, they can offer valuable tools for both beginner and experienced composers.