62 citations · 124 across the 12 of their papers we have counts for
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eess.AS2022★ 8 cited
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…
eess.AS2022★ 50 cited
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
Seungu Han, Junhyeok Lee
Conventionally, audio super-resolution models fixed the initial and the target sampling rates, which necessitate the model to be trained for each pair of sampling rates. We introdu…
cs.CV2022
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…