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Found 3 papers, 2 papers with code
Avocodo: Generative Adversarial Network for Artifact-free Vocoder
Therefore, in this paper, we investigate the relationship between these artifacts and GAN-based vocoders and propose a GAN-based vocoder, called Avocodo, that allows the synthesis of high-fidelity speech with reduced artifacts.
GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis
Recent advances in neural multi-speaker text-to-speech (TTS) models have enabled the generation of reasonably good speech quality with a single model and made it possible to synthesize the speech of a speaker with limited training data.
FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
Methods for modeling and controlling prosody with acoustic features have been proposed for neural text-to-speech (TTS) models.
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