6.4k citations · 15.7k across the 9 of their papers we have counts for
3 papers · 1 filter
Unsupervised speech representation learning using WaveNet autoencoders
Jan Chorowski, Ron J. Weiss, Samy Bengio +1
We consider the task of unsupervised extraction of meaningful latent representations of speech by applying autoencoding neural networks to speech waveforms. The goal is to learn a…
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord, Yazhe Li, Oriol Vinyals
While supervised learning has enabled great progress in many applications, unsupervised learning has not seen such widespread adoption, and remains an important and challenging end…
Neural Discrete Representation Learning
Aaron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
Learning useful representations without supervision remains a key challenge in machine learning. In this paper, we propose a simple yet powerful generative model that learns such d…