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Despite recent advances in zero-shot voice conversion (VC), achieving speaker similarity and naturalness comparable to ground-truth recordings remains a significant challenge.
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S. Hussain, P. Neekhara, J. Huang, J. Li, and B. Ginsburg, “Ace-vc: Adaptive and controllable voice conversion using explicitly disentangled self-supervised speech representations,” in ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2023, pp. 1–5
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Z. Wang, Y. Chen, L. Xie, Q. Tian, and Y. Wang, “Lm-vc: Zero-shot voice conversion via speech generation based on language models,” IEEE Signal Processing Letters , 2023
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J. Li, Y. Guo, X. Chen, and K. Yu, “Sef-vc: Speaker embedding free zero-shot voice conversion with cross attention,” in ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2024, pp. 12 296–12 300
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J. Yao, Y. Yang, Y. Lei, Z. Ning, Y. Hu, Y. Pan, J. Yin, H. Zhou, H. Lu, and L. Xie, “Promptvc: Flexible stylistic voice conversion in latent space driven by natural language prompts,” in ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2024, pp. 10 571–10 575
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