1 citations · 2 across the 4 of their papers we have counts for
4 papers
WeSinger 2: Fully Parallel Singing Voice Synthesis via Multi-Singer Conditional Adversarial Training
Zewang Zhang, Yibin Zheng, Xinhui Li +1
This paper aims to introduce a robust singing voice synthesis (SVS) system to produce very natural and realistic singing voices efficiently by leveraging the adversarial training s…
WeSinger: Data-augmented Singing Voice Synthesis with Auxiliary Losses
Zewang Zhang, Yibin Zheng, Xinhui Li +1
In this paper, we develop a new multi-singer Chinese neural singing voice synthesis (SVS) system named WeSinger. To improve the accuracy and naturalness of synthesized singing voic…
Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS
Shilun Lin, Wenchao Su, Li Meng +3
This paper presents Nana-HDR, a new non-attentive non-autoregressive model with hybrid Transformer-based Dense-fuse encoder and RNN-based decoder for TTS. It mainly consists of thr…
Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet
Shilun Lin, Fenglong Xie, Li Meng +2
In this work, a robust and efficient text-to-speech (TTS) synthesis system named Triple M is proposed for large-scale online application. The key components of Triple M are: 1) A s…