1 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.AS2020★ 1 cited
Autoencoding Neural Networks as Musical Audio Synthesizers
Joseph Colonel, Christopher Curro, Sam Keene
A method for musical audio synthesis using autoencoding neural networks is proposed. The autoencoder is trained to compress and reconstruct magnitude short-time Fourier transform f…
eess.AS2020★ 1 cited
Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis
Joseph T Colonel, Sam Keene
We compare standard autoencoder topologies' performances for timbre generation. We demonstrate how different activation functions used in the autoencoder's bottleneck distributes a…
cs.SD2018
A Fully Convolutional Neural Network Approach to End-to-End Speech Enhancement
Frank Longueira, Sam Keene
This paper will describe a novel approach to the cocktail party problem that relies on a fully convolutional neural network (FCN) architecture. The FCN takes noisy audio data as in…