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Investigation of F0 conditioning and Fully Convolutional Networks in
  Variational Autoencoder based Voice Conversion

Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion

2 May 2019
Wen-Chin Huang
Yi-Chiao Wu
Chen-Chou Lo
Patrick Lumban Tobing
Tomoki Hayashi
Kazuhiro Kobayashi
T. Toda
Yu Tsao
H. Wang
    DRL
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Papers citing "Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion"

3 / 3 papers shown
Title
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in
  Speech
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech
Kun Zhou
Berrak Sisman
Haizhou Li
DRL
34
40
0
03 Nov 2020
Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice
  Conversion
Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion
Kun Zhou
Berrak Sisman
Mingyang Zhang
Haizhou Li
32
52
0
13 May 2020
Unsupervised Representation Disentanglement using Cross Domain Features
  and Adversarial Learning in Variational Autoencoder based Voice Conversion
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
Wen-Chin Huang
Hao Luo
Hsin-Te Hwang
Chen-Chou Lo
Yu-Huai Peng
Yu Tsao
Hsin-Min Wang
DRL
17
42
0
22 Jan 2020
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