Improving Synthesizer Programming From Variational Autoencoders Latent Space-Reference-Cited by-同舟云学术

Improving Synthesizer Programming From Variational Autoencoders Latent Space

Published:2021-09-08 Issue: Volume: Page:
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Container-title:2021 24th International Conference on Digital Audio Effects (DAFx)
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Author:

Vaillant Gwendal Le¹,Dutoit Thierry¹,Dekeyser Sebastien²

Affiliation:

1. Numediart Institute University of Mons,Mons,Belgium

2. ISIB HE2B,Brussels,Belgium

Publisher

IEEE

Link

Reference23 articles.

1. Improved variational infer-ence with inverse autoregressive flow;kingma;Advances in Neu-ral Information Processing Systems,2016

2. Masked au-toregressive flow for density estimation;papamakarios;Advances in neural information processing systems,2017

3. Dcnsity estimation using real nvp;dinh;International Conference on Learning Representations,0

4. Normalizing flows for probabilistic modeling and inference;papamakarios;ArXiv Preprint,2019

5. Automatic design of sound synthesis techniques by means of genetic programming;garcia;Audio Engi-neering Society Convention,2002

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