Papers by Yongjie Du

1 papers
A Fast and High-quality Text-to-Speech Method with Compressed Auxiliary Corpus and Limited Target Speaker Corpus (2024.lrec-main)

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Challenge: Existing methods to generate high-quality speech with limited target speaker corpus require extensive training data.
Approach: They propose an auxiliary corpus compression algorithm that reduces the training cost while the naturalness of synthesized speech is not significantly degraded.
Outcome: The proposed method significantly reduces training costs while maintaining the naturalness of synthesized speech.

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