Jose Sotelo — accepted AI-conference papers

2019

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo +3

NeurIPS 2019poster

Previous works (Donahue et al., 2018a; Engel et al., 2019a) have found that generating coherent raw audio waveforms with GANs is challenging. In this paper, we show that it is possible to train GANs reliably to generate high quality coherent waveforms by introducing a set of architectural changes an…

Cited by 1249 Source ↗PDF ↗code ↗Scholar ↗

2017

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo +2

ICLR 2017poster

In this paper we propose a novel model for unconditional audio generation task that generates one audio sample at a time. We show that our model which profits from combining memory-less modules, namely autoregressive multilayer perceptron, and stateful recurrent neural networks in a hierarchical str…

Cited by 761 Source ↗code ↗Scholar ↗