Despite significant advances in neural vocoders using diffusion models and their variants, these methods, unfortunately, inherently suffer from a performance-inference dilemma, which stems from the ...

Although deep neural networks have facilitated significant progress of neural vocoders in recent years, they usually suffer from intrinsic challenges like opaque modeling, inflexible retraining under ...

Abstract: While transformers demonstrate outstanding performance across various audio tasks, their application to neural vocoders remains challenging. Neural vocoders require the generation of long ...