Generative adversarial networks (GANs) in music

Generative adversarial networks (GANs) in music are a type of artificial intelligence that creates new music by pitting two neural networks against each other. One network, the generator, produces music samples, while the other, the discriminator, evaluates how realistic these samples are. Through this competition, the generator improves its ability to craft authentic-sounding music, mimicking styles learned from existing examples. Over time, GANs can generate original compositions that sound complex and natural, aiding musicians in creative exploration or producing new soundscapes efficiently.