mely because of the availability of large-scale datasets, namely, ImageNet <span class="citation" data-cites="ILSVRC15">(Russakovsky et al. 2015)</span>. The literature reflects that one inspiration for sonic GANs came from its deep convolutional version DCGAN <span class="citation" data-cites="radford2015unsupervised">(Radford et al. 2015)</span>, an adversarial image generator. The problem of translating networks from images to sounds is mentioned in <span class="citation" data-cites="RothmanBlog">(Rothma