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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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Literature Corpus work
8c57c814-8b0c-56b9-904d-2085872a27f9
DOI
10.20944/preprints202506.2168.v1
Open publication

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IterVocoder: Fast High-Fidelity Speech Synthesis via GAN-Guided Iterative RefinementDOI 10.20944/preprints202506.2168.v1
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