Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks
Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks
A central task of a Disc Jockey (DJ) is to create a mixset of music with seamless transitions between adjacent tracks. In this paper, we explore a data-driven approach that uses a generative adversarial network to create the song transition by learning from real-world DJ mixes. The generator uses two …