Generative adversarial network (GAN) studies have grown exponentially in the past few
years. Their impact has been seen mainly in the computer vision field with realistic image …

Generative adversarial networks (GANs) studies have grown exponentially in the past few
years. Their impact has been seen mainly in the computer vision field with realistic image …

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 …

Text to Speech (TTS) synthesis is a process of translating natural language text into speech.
Pieces of recorded speech generate synthesized speech and a database is maintained for …

Recent advances in neural network-based text-to-speech have reached human level
naturalness in synthetic speech. The present sequence-to-sequence models can directly …

This paper proposes an effective probability density distillation (PDD) algorithm for WaveNet-
based parallel waveform generation (PWG) systems. Recently proposed teacher-student …

Fetal heart rate (FHR) monitoring is an important medical-assisted diagnostic technique
widely used by clinicians to assess fetal well-being. However, one challenge is that the …

In this paper, we propose the neural homomorphic vocoder (NHV), a source-filter model
based neural vocoder framework. NHV synthesizes speech by filtering impulse trains and …

In this paper, we propose a quasi-periodic parallel WaveGAN (QPPWG) waveform
generative model, which applies a quasi-periodic (QP) structure to a parallel WaveGAN …

The quality of raw audio waveform generated by a vocoder could affect various audio
generative tasks. In recent years, the dominance of source-filter vocoders was greatly …