ICASSP 2020 Paper 5581

ICASSP 2020 Paper 5581

Citation Author(s):
Ruobai
Wang
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Submitted by:
Ruobai Wang
Last updated:
Tue, 10/22/2019 - 21:40
DOI:
10.21227/rvjr-2b10
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Our efforts are made on one-shot voice conversion where the target speaker is unseen in training dataset or both source and target speakers are unseen in the training dataset. In our work, StarGAN is employed to carry out voice conversation between speakers. An embedding vector is used to represent speaker ID. This work relies on two datasets in English and one dataset in Chinese, involving 38 speakers. A user study is conducted to validate our framework in terms of reconstruction quality and conversation quality. The results show that our framework is able to perform one-shot voice conversation and also outperforms state-of-the-art methods when the speaker in the test is seen in the training dataset. The exploration experiment demonstrates that our framework can be updated with incremental training when the data from new speakers is available.

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This is the supporting content for my ICASSP 2020 paper.

Paper number: 5581.

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[1] Ruobai Wang, "ICASSP 2020 Paper 5581", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/rvjr-2b10. Accessed: Mar. 29, 2020.
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title = {ICASSP 2020 Paper 5581},
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Ruobai Wang. (2019). ICASSP 2020 Paper 5581. IEEE Dataport. http://dx.doi.org/10.21227/rvjr-2b10
Ruobai Wang, 2019. ICASSP 2020 Paper 5581. Available at: http://dx.doi.org/10.21227/rvjr-2b10.
Ruobai Wang. (2019). "ICASSP 2020 Paper 5581." Web.
1. Ruobai Wang. ICASSP 2020 Paper 5581 [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/rvjr-2b10
Ruobai Wang. "ICASSP 2020 Paper 5581." doi: 10.21227/rvjr-2b10