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E-DGAN: An Encoder-Decoder Generative Adversarial Network Based Method for Pathological to Normal Voice Conversion.

Minghang ChuMengtao YangChao XuYaoyao MaJing WangZhiwei FanZhi TaoDi Wu
Published in: IEEE J. Biomed. Health Informatics (2023)
Keyphrases
  • high accuracy
  • generative model
  • computational complexity
  • preprocessing
  • prior knowledge
  • significant improvement
  • low complexity
  • objective function
  • multi agent
  • unsupervised learning