62 citations · 120 across the 3 of their papers we have counts for
3 papers
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…
eess.AS2021★ 62 cited
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
Junhyeok Lee, Seungu Han
In this work, we introduce NU-Wave, the first neural audio upsampling model to produce waveforms of sampling rate 48kHz from coarse 16kHz or 24kHz inputs, while prior works could g…