Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder

31 July 2018

Papers citing "Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder"

9 / 9 papers shown

Title
HiFi-WaveGAN: Generative Adversarial Network with Auxiliary Spectrogram-Phase Loss for High-Fidelity Singing Voice Generation Chunhui Wang Chang Zeng Jun Chen Xingji He 59 7 0 23 Oct 2022
Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech Yusuke Nakai Yuki Saito K. Udagawa Hiroshi Saruwatari AAML 30 1 0 26 Sep 2022
FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos Rishik Mishra Neeraj Gupta Nitya Shukla 45 0 0 01 Nov 2021
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech Kun Zhou Berrak Sisman Haizhou Li DRL 39 40 0 03 Nov 2020
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning Berrak Sisman Junichi Yamagishi Simon King Haizhou Li BDL 48 318 0 09 Aug 2020
Conditional Spoken Digit Generation with StyleGAN Kasperi Palkama Lauri Juvela Alexander Ilin GAN 29 10 0 28 Apr 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 37 81 0 02 Jan 2020
Probability density distillation with generative adversarial networks for high-quality parallel waveform generation Ryuichi Yamamoto Eunwoo Song Jae-Min Kim 19 55 0 09 Apr 2019
Reducing over-smoothness in speech synthesis using Generative Adversarial Networks Leyuan Sheng Evgeny Nikolaevich Pavlovskiy GAN 22 9 0 25 Oct 2018