21 citations · 45 across the 8 of their papers we have counts for
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eess.AS2021★ 2 cited
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…
eess.AS2021
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…
cs.CL2021
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…