paper-conference

GANSynth: Adversarial Neural Audio Synthesis
Efficient audio synthesis is an inherently difficult machine learning task, as human perception is sensitive to both global structure …
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts
arXiv PDF BibTeX 🔊 Examples Code Blog
Piano Genie
We present Piano Genie, an intelligent controller which allows non-musicians to improvise on the piano. With Piano Genie, a user …
Chris Donahue, Ian Simon, Sander Dieleman
arXiv PDF BibTeX Code 🕹️ Demo Video Blog
The NES Music Database: A Multi-instrumental Dataset with Expressive Performance Attributes
Existing research on music generation focuses on composition, but often ignores the expressive performance characteristics required for …
Chris Donahue, Huanru Henry Mao, Julian McAuley
arXiv PDF BibTeX Code Dataset 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
Dance Dance Convolution
Dance Dance Revolution (DDR) is a popular rhythm-based video game. Players perform steps on a dance platform in synchronization with …
Chris Donahue, Zachary C. Lipton, Julian McAuley
arXiv PDF BibTeX Code Dataset 🕹️ Demo