Researchers adapt and improve CycleGAN model to perform music style transfer on Jazz and Classic genres.The goal is to easily generate new songs, cover music to different genres, and reduce the arrangements needed in those processes.A music genre classifier is used to assess the performance of the transfer models, achieving an accuracy of 87.7%.The developed genre classifier obtains the best accuracies of 69.4% in Jazz to Classic task, and 39.3% in Classic to Jazz task.