A Variant Model of TGAN for Music Generation
Ping-Sung Cheng, Chieh-Ying Lai, Chun‐Chieh Chang, Shu-Fen Chiou, Yu‐Chieh Yang · 2020
In the past five years, we have seen an increase in generative adversarial networks (GANs) and their applications for image generation. Due to the randomness and unpredictability of the structure of music, music generation is well suited to the use of GANs. Numerous studies have been published on music generation by using temporal GANs. However, few studies have focused on the relationships between melodies and chords, and the effects of latent space on time sequence.