8 citations · 9 across the 4 of their papers we have counts for
4 papers
JenGAN: Stacked Shifted Filters in GAN-Based Speech Synthesis
Hyunjae Cho, Junhyeok Lee, Wonbin Jung
Non-autoregressive GAN-based neural vocoders are widely used due to their fast inference speed and high perceptual quality. However, they often suffer from audible artifacts such a…
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS
Junhyeok Lee, Wonbin Jung, Hyunjae Cho +2
Previous pitch-controllable text-to-speech (TTS) models rely on directly modeling fundamental frequency, leading to low variance in synthesized speech. To address this issue, we pr…
PhaseAug: A Differentiable Augmentation for Speech Synthesis to Simulate One-to-Many Mapping
Junhyeok Lee, Seungu Han, Hyunjae Cho +1
Previous generative adversarial network (GAN)-based neural vocoders are trained to reconstruct the exact ground truth waveform from the paired mel-spectrogram and do not consider t…
Talking Face Generation with Multilingual TTS
Hyoung-Kyu Song, Sang Hoon Woo, Junhyeok Lee +5
In this work, we propose a joint system combining a talking face generation system with a text-to-speech system that can generate multilingual talking face videos from only the tex…