most citedVarianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.AS2024

DualSpeech: Enhancing Speaker-Fidelity and Text-Intelligibility Through Dual Classifier-Free Guidance

Jinhyeok Yang, Junhyeok Lee, Hyeong-Seok Choi +3

Text-to-Speech (TTS) models have advanced significantly, aiming to accurately replicate human speech's diversity, including unique speaker identities and linguistic nuances. Despit…

eess.AS2023★ 1 cited

Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow

Yoonhyung Lee, Jinhyeok Yang, Kyomin Jung

There are two types of methods for non-autoregressive text-to-speech models to learn the one-to-many relationship between text and speech effectively. The first one is to use an ad…