Article
IterVocoder: Fast High-Fidelity Speech Synthesis via GAN-Guided Iterative Refinement
2025-06-26
Abstract excerpt
Recent progress in neural vocoders has demonstrated impressive advances in natural speech synthesis. Among them, denoising diffusion probabilistic models (DDPMs) and generative adversarial networks (GANs) stand out due to their ability to produce high-fidelity audio. However, DDPMs typically require a large number of iterative steps, and GANs often suffer from training instability. To reconcile these limitations,...
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Identifiers and source
- Literature Corpus work
- 8c57c814-8b0c-56b9-904d-2085872a27f9
- DOI
- 10.20944/preprints202506.2168.v1
