DrumGAN - Adversarial synthesis of drum sounds
This paper faces the problem of audio synthesis with Generative Adversarial Networks (GAN), with an attempt to create novel, original high-quality samples of drums that could be used within the realm of music production. My results show that it is possible to create high-quality drum samples with architecture such as DCGAN (Deep Convolutional GAN) and that using causal and dilated convolutions is
