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Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised
  Discrete Speech Representations

Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations

23 October 2020
Wen-Chin Huang
Yi-Chiao Wu
Tomoki Hayashi
T. Toda
    BDL
ArXivPDFHTML

Papers citing "Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations"

5 / 5 papers shown
Title
Mitigating Timbre Leakage with Universal Semantic Mapping Residual Block for Voice Conversion
Mitigating Timbre Leakage with Universal Semantic Mapping Residual Block for Voice Conversion
Na Li
Chuke Wang
Yu Gu
Zhifeng Li
51
0
0
11 Apr 2025
SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross
  Attention
SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross Attention
Junjie Li
Yiwei Guo
Xie Chen
Kai Yu
25
13
0
14 Dec 2023
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion
Chihiro Watanabe
Hirokazu Kameoka
DRL
18
0
0
20 Oct 2022
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
35
0
0
08 Apr 2022
S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised
  Pretrained Representations
S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations
Jheng-hao Lin
Yist Y. Lin
C. Chien
Hung-yi Lee
20
56
0
07 Apr 2021
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