We introduce anticipation: a method for constructing a controllable
gene...
Generating high quality music that complements the visual content of a v...
We present SingSong, a system that generates instrumental music to accom...
AI tools increasingly shape how we discover, make and experience music. ...
Despite the central role that melody plays in music perception, it remai...
Developing architectures suitable for modeling raw audio is a challengin...
Modern keyboards allow a musician to play multiple instruments at the sa...
We demonstrate that language models pre-trained on codified
(discretely-...
We release a new benchmark for lexical substitution, the task of finding...
We present a simple approach for text infilling, the task of predicting
...
We are interested in the task of generating multi-instrumental music sco...
Recent approaches in text-to-speech (TTS) synthesis employ neural networ...
Efficient audio synthesis is an inherently difficult machine learning ta...
We present Piano Genie, an intelligent controller which allows non-music...
Existing research on music generation focuses on composition, but often
...
While Generative Adversarial Networks (GANs) have seen wide success at t...
We investigate the effectiveness of generative adversarial networks (GAN...
We propose a new algorithm for training generative adversarial networks ...
Dance Dance Revolution (DDR) is a popular rhythm-based video game. Playe...