1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.AS2022★ 1 cited
Adversarial Multi-Task Learning for Disentangling Timbre and Pitch in Singing Voice Synthesis
Tae-Woo Kim, Min-Su Kang, Gyeong-Hoon Lee
Recently, deep learning-based generative models have been introduced to generate singing voices. One approach is to predict the parametric vocoder features consisting of explicit s…
eess.AS2021
N-Singer: A Non-Autoregressive Korean Singing Voice Synthesis System for Pronunciation Enhancement
Gyeong-Hoon Lee, Tae-Woo Kim, Hanbin Bae +3
Recently, end-to-end Korean singing voice systems have been designed to generate realistic singing voices. However, these systems still suffer from a lack of robustness in terms of…