FAQ About The Role of Machine Learning in Music Composition

Machine learning generates music using techniques such as neural networks, which are trained on large datasets of music. These networks learn the underlying structures and patterns of music, such as melody, harmony, and rhythm. Once trained, the model can generate new pieces of music or variations based on the learned patterns. Algorithms like GANs (Generative Adversarial Networks) or LSTMs (Long Short-Term Memory networks) are often used in this process.