21 citations · 45 across the 8 of their papers we have counts for
4 papers · 1 filter
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
Rongjie Huang, Zhou Zhao, Huadai Liu +3
Denoising diffusion probabilistic models (DDPMs) have recently achieved leading performances in many generative tasks. However, the inherited iterative sampling process costs hinde…
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
Rongjie Huang, Yi Ren, Jinglin Liu +2
Style transfer for out-of-domain (OOD) speech synthesis aims to generate speech samples with unseen style (e.g., speaker identity, emotion, and prosody) derived from an acoustic re…
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…