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RefineGAN: High-Fidelity Waveform Synthesis by bedap20634 is a document available to read on EtoBox.
What is RefineGAN: High-Fidelity Waveform Synthesis about?
RefineGAN is a high-fidelity neural vocoder designed to improve waveform generation accuracy in singing voice synthesis by utilizing pitch-guided methods and a multi-scale spectrogram-based loss function. The approach enhances robustness and reduces synthetic artifacts, resulting in audio quality that surpasses ground truth in subjective tests. The model demonstrates effective performance across unseen languages and speakers, showcasing its versatility in high-resolution voice synthesis applications.
- Author
- bedap20634
- Language
- EN