Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search. - Jaehyeon Kim; Sungwon Kim 001; Jungil Kong; Sungroh Yoon (NeurIPS, 2020)

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis. - Jungil Kong; Jaehyeon Kim; Jaekyoung Bae (NeurIPS, 2020)

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. - Jaehyeon Kim; Jungil Kong; Juhee Son (ICML, 2021)

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design. - Jungil Kong; Jihoon Park; Beomjeong Kim; Jeongmin Kim; Dohee Kong; Sangjin Kim (INTERSPEECH, 2023)

Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis. - Jungil Kong; Junmo Lee; Jeongmin Kim; Beomjeong Kim; Jihoon Park; Dohee Kong; Changheon Lee; Sangjin Kim (CoRR, 2023)

ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis. - Jungil Kong; Junmo Lee; Jeongmin Kim; Beomjeong Kim; Jihoon Park; Dohee Kong; Changheon Lee; Sangjin Kim (ICML, 2024)