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

Xintao Zhao

Zhiyong Wu

Shiyin Kang

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

5 / 5 papers shown

Title
Vec-Tok-VC+: Residual-enhanced Robust Zero-shot Voice Conversion with Progressive Constraints in a Dual-mode Training Strategy Linhan Ma Xinfa Zhu Yuanjun Lv Zhichao Wang Ziqian Wang Wendi He Hongbin Zhou Lei Xie 42 2 0 14 Jun 2024
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion Xintao Zhao Shuai Wang Yang Chao Zhiyong Wu Helen Meng 40 3 0 16 May 2023
Enhanced exemplar autoencoder with cycle consistency loss in any-to-one voice conversion Weida Liang Lantian Li Wenqiang Du Dong Wang 56 0 0 08 Apr 2022
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 Helen Meng 26 21 0 24 Mar 2022
Text-free non-parallel many-to-many voice conversion using normalising flows Thomas Merritt Abdelhamid Ezzerg Piotr Bilinski Magdalena Proszewska Kamil Pokora Roberto Barra-Chicote Daniel Korzekwa 36 14 0 15 Mar 2022