54 citations · 167 across the 11 of their papers we have counts for
5 papers · 1 filter
Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus
Rongjie Huang, Feiyang Chen, Yi Ren +3
High-fidelity multi-singer singing voice synthesis is challenging for neural vocoder due to the singing voice data shortage, limited singer generalization, and large computational…
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation
Rongjie Huang, Chenye Cui, Feiyang Chen +5
Deep generative models have achieved significant progress in speech synthesis to date, while high-fidelity singing voice synthesis is still an open problem for its long continuous…
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model
Chenye Cui, Yi Ren, Jinglin Liu +4
Recently, there has been an increasing interest in neural speech synthesis. While the deep neural network achieves the state-of-the-art result in text-to-speech (TTS) tasks, how to…
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu, Chengxi Li, Yi Ren +2
Singing voice synthesis (SVS) systems are built to synthesize high-quality and expressive singing voice, in which the acoustic model generates the acoustic features (e.g., mel-spec…
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
Yifan Wu, Min Gao, Min Zeng +3
Motivation: Exploring drug-protein interactions (DPIs) work as a pivotal step in drug discovery. The fast expansion of available biological data enables computational methods effec…