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Adversarially Trained Multi-Singer Sequence-To-Sequence Singing Synthesizer

This paper presents a high quality singing synthesizer that is able to model a voice with limited available recordings. Based on the sequence-to-sequence singing model, we design a multi-singer framework to leverage all the existing singing data of different singers.

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Cite this as

Jie Wu, Jian Luan (2025). Dataset: Adversarially Trained Multi-Singer Sequence-To-Sequence Singing Synthesizer. https://doi.org/10.57702/zevc4878

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Additional Info

Field	Value
Created	January 3, 2025
Last update	January 3, 2025
Defined In	https://doi.org/10.48550/arXiv.2006.10317
Author	Jie Wu
More Authors	Jian Luan
Homepage	https://jiewu-demo.github.io/INTERSPEECH2020/