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2001.11296
Cited By

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

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

IEEE International Joint Conference on Neural Network (IJCNN), 2020

30 January 2020

Joseph T Colonel

ArXiv (abs)PDF HTML

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

3 / 3 papers shown

Sound Design Strategies for Latent Audio Space Explorations Using Deep
Learning Architectures

Sound Design Strategies for Latent Audio Space Explorations Using Deep Learning Architectures

195

3

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-spectrogramsInternational Conference on Signal-Image Technology and Internet-Based Systems (SITIS), 2022

Anastasia Natsiou

105

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 AutoencodersInternational Workshop on Machine Learning for Signal Processing (MLSP), 2021

Aaron Valero Puche

137

3

0

09 Nov 2021

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