most citedConditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis

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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…