(Un)paired signal-to-signal translation with 1D conditional GANs

arXiv:2403.04800v1 Announce Type: cross
Abstract: I show that a one-dimensional (1D) conditional generative adversarial network (cGAN) with an adversarial training architecture is capable of unpaired signal-to-signal ("sig2sig") translation. Using a simplified CycleGAN model with 1D layers and wider convolutional kernels, mirroring WaveGAN to reframe two-dimensional (2D) image generation as 1D audio generation, I show that recasting the 2D image-to-image translation task to a 1D signal-to-signal translation task with deep convolutional GANs is possible without substantial modification to the conventional U-Net …

abstract adversarial adversarial training architecture arxiv audio audio generation cs.cv cs.gr cs.lg cyclegan eess.as gans generative generative adversarial network image image generation network show signal simplified training translation type