21 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.SD2022
Improving Adversarial Waveform Generation based Singing Voice Conversion with Harmonic Signals
Haohan Guo, Zhiping Zhou, Fanbo Meng +1
Adversarial waveform generation has been a popular approach as the backend of singing voice conversion (SVC) to generate high-quality singing audio. However, the instability of GAN…
eess.AS2020★ 7 cited
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application
Yu-Wen Chen, Kuo-Hsuan Hung, You-Jin Li +6
This study presents a deep learning-based speech signal-processing mobile application known as CITISEN. The CITISEN provides three functions: speech enhancement (SE), model adaptat…
cs.SD2020★ 21 cited
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
Geng Yang, Shan Yang, Kai Liu +3
In this paper, we propose multi-band MelGAN, a much faster waveform generation model targeting to high-quality text-to-speech. Specifically, we improve the original MelGAN by the f…