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Autoencoders for music sound modeling: a comparison of linear, shallow,
  deep, recurrent and variational models

Autoencoders for music sound modeling: a comparison of linear, shallow, deep, recurrent and variational models

11 June 2018
Fanny Roche
Thomas Hueber
Samuel Limier
Laurent Girin
ArXivPDFHTML

Papers citing "Autoencoders for music sound modeling: a comparison of linear, shallow, deep, recurrent and variational models"

3 / 3 papers shown
Title
HpRNet : Incorporating Residual Noise Modeling for Violin in a
  Variational Parametric Synthesizer
HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer
Krishna Subramani
Preeti Rao
22
4
0
19 Aug 2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier
  Test Input Generation
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
Sungmin Kang
R. Feldt
S. Yoo
AAML
26
32
0
19 May 2020
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
1