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Adversarially learning disentangled speech representations for robust
  multi-factor voice conversion

Adversarially learning disentangled speech representations for robust multi-factor voice conversion

30 January 2021
Jie Wang
Jingbei Li
Xintao Zhao
Zhiyong Wu
Shiyin Kang
H. Meng
    DRL
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Papers citing "Adversarially learning disentangled speech representations for robust multi-factor voice conversion"

3 / 3 papers shown
Title
Adversarial Speaker Disentanglement Using Unannotated External Data for
  Self-supervised Representation Based Voice Conversion
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion
Xintao Zhao
Shuai Wang
Yang Chao
Zhiyong Wu
H. Meng
27
3
0
16 May 2023
Enhanced exemplar autoencoder with cycle consistency loss in any-to-one
  voice conversion
Enhanced exemplar autoencoder with cycle consistency loss in any-to-one voice conversion
Weida Liang
Lantian Li
Wenqiang Du
Dong Wang
43
0
0
08 Apr 2022
Disentangleing Content and Fine-grained Prosody Information via Hybrid
  ASR Bottleneck Features for Voice Conversion
Disentangleing Content and Fine-grained Prosody Information via Hybrid ASR Bottleneck Features for Voice Conversion
Xintao Zhao
Feng Liu
Changhe Song
Zhiyong Wu
Shiyin Kang
Deyi Tuo
H. Meng
11
20
0
24 Mar 2022
1