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Conditioning Autoencoder Latent Spaces for Real-Time Timbre
  Interpolation and Synthesis

Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis

30 January 2020
Joseph T Colonel
S. Keene
ArXiv (abs)PDFHTML

Papers citing "Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis"

3 / 3 papers shown
Title
Sound Design Strategies for Latent Audio Space Explorations Using Deep
  Learning Architectures
Sound Design Strategies for Latent Audio Space Explorations Using Deep Learning Architectures
Kivancc Tatar
Kelsey Cotton
D. Bisig
DiffM
44
2
0
24 May 2023
An investigation of the reconstruction capacity of stacked convolutional
  autoencoders for log-mel-spectrograms
An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms
Anastasia Natsiou
Luca Longo
Seán O'Leary
18
0
0
18 Jan 2023
CAESynth: Real-Time Timbre Interpolation and Pitch Control with
  Conditional Autoencoders
CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders
Aaron Valero Puche
Sukhan Lee
43
1
0
09 Nov 2021
1