Generative adversarial networks (GANs) have seen remarkable progress in recent years.
They are used as generative models for all kinds of data such as text, images, audio, music …

In this paper, we propose a text-to-speech (TTS)-driven data augmentation method for
improving the quality of a non-autoregressive (AR) TTS system. Recently proposed non-AR …

This paper proposes an effective emotional text-to-speech (TTS) system with a pre-trained
language model (LM)-based emotion prediction method. Unlike conventional systems that …

While rendering and animation of photorealistic 3D human body models have matured and
reached an impressive quality over the past years, modeling the spatial audio associated …

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 …

We introduce unified source-filter generative adversarial networks (uSFGAN), a waveform
generative model conditioned on acoustic features, which represents the source-filter …

This paper proposes a spectral-domain perceptual weighting technique for Parallel
WaveGAN-based text-to-speech (TTS) systems. The recently proposed Parallel WaveGAN …

While 3D human body modeling has received much attention in computer vision, modeling
the acoustic equivalent, ie modeling 3D spatial audio produced by body motion and speech …

This paper proposes a multi-band harmonic-plus-noise (HN) Parallel WaveGAN (PWG)
vocoder. To generate a highfidelity speech signal, it is important to well-reflect the harmonic …

We propose a novel phrase break prediction method that combines implicit features
extracted from a pre-trained large language model, aka BERT, and explicit features …