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

27 February 2023

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

5 / 5 papers shown

Title
FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration Da-Hee Yang Jaeuk Lee Joon-Hyuk Chang VLM AI4CE 33 0 0 03 May 2025
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR Sewade Ogun Vincent Colotte Emmanuel Vincent 59 0 0 11 Mar 2025
MultiVerse: Efficient and Expressive Zero-Shot Multi-Task Text-to-Speech Taejun Bak Youngsik Eom SeungJae Choi Young-Sun Joo 23 0 0 04 Oct 2024
Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS Sewade Ogun Vincent Colotte Emmanuel Vincent DiffM 27 4 0 28 May 2023
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS Junhyeok Lee Wonbin Jung Hyunjae Cho Jaeyeon Kim Jaehwan Kim 14 3 0 24 Feb 2023