Generative Adversarial Networks

Adversarial Audio Synthesis
Audio signals are sampled at high temporal resolutions, and learning to synthesize audio requires capturing structure across a range of …
Chris Donahue, Julian McAuley, Miller Puckette
arXiv PDF BibTeX 🔊 Examples Code 🕹️ Demo Notebook
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
We propose a new algorithm for training generative adversarial networks that jointly learns latent codes for both identities (e.g. …
Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley
arXiv PDF BibTeX Code 🕹️ Demo
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
We investigate the effectiveness of generative adversarial networks (GANs) for speech enhancement, in the context of improving noise …
Chris Donahue, Bo Li, Rohit Prabhavalkar
arXiv PDF BibTeX