One-Shot Voice Conversion Based on Style Generative Adversarial Networks with ESR and DSNet-Reference-Cited by-同舟云学术

One-Shot Voice Conversion Based on Style Generative Adversarial Networks with ESR and DSNet

Published:2024-04-21 Issue:7 Volume:43 Page:4565-4587
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Li Yanping^ORCID,Pan Lei,Qiu Xiangtian,Yang Zeyu,Tan Zhicheng,Qian Bo

Funder

National Key Research and Development Project

the National Nature Science Foundation of China under Grants

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00034-024-02675-5.pdf

Reference33 articles.

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3. C. Chun, Y.H. Lee, G.W. Lee, et al., (2023) Non-parallel voice conversion using cycle-consistent adversarial networks with self-supervised representations. In: 2023 IEEE 20th consumer communications & networking conference (CCNC), pp 931–932

4. S. Ghosh, Y. Sinha, I. Siegert, et al., (2023) Improving voice conversion for dissimilar speakers using perceptual losses. Deutsche Gesellschaft für Akustik eV pp 1358–1361

5. K. He, X. Zhang, S. Ren, et al., Deep residual learning for image recognition. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 770–778 (2016)