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June 12, 2024Open Access

VISinger2+: End-to-End Singing Voice Synthesis Augmented by Self-Supervised Learning Representation

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Authors

YYYifeng YuJSJiatong ShiYWYuning Wu

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Cite This Study

Yu et al. (2024) studied this question.

synapsesocial.com/papers/68e651cbb6db6435875e27aahttps://doi.org/10.48550/arxiv.2406.08761
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance2024
  2. 2A Preliminary Investigation on Flexible Singing Voice Synthesis Through Decomposed Framework with Inferrable Features2024
  3. 3MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance2024 · 3 citations
  4. 4Sifisinger: A High-Fidelity End-to-End Singing Voice Synthesizer Based on Source-Filter Model2024 · 4 citations
  5. 5Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion2024