MuseGAN generates pop song phrases consisting of bass, drums, guitar, piano, and strings tracks using generative adversarial networks. It uses 3D convolutional layers to handle temporal structure in the generated music. The model is trained on the Lakh Pianoroll Dataset and can generate music either from scratch or by accompanying a user-provided track.