What is recorded here?
Combined conditional variational inference, normalizing flows and adversarial waveform training with a stochastic duration predictor for parallel text-to-speech.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Inherits VAEs, flows, GANs and duration/alignment methods. Delta is the integrated latent/duration model, not first end-to-end TTS or proof of full natural prosody. Ground-truth-like MOS is limited to original tested datasets/listeners.
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People and systems
Jaehyeon Kim; Jungil Kong; Juhee Son
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
VITS: variational-flow and adversarial end-to-end speech synthesis
Combined conditional variational inference, normalizing flows and adversarial waveform training with a stochastic duration predictor for parallel text-to-speech.
Scientific scope
Inherits VAEs, flows, GANs and duration/alignment methods. Delta is the integrated latent/duration model, not first end-to-end TTS or proof of full natural prosody. Ground-truth-like MOS is limited to original tested datasets/listeners.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Jaehyeon Kim; Jungil Kong; Juhee Son
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.