94 citations · 103 across the 5 of their papers we have counts for
5 papers
DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis
Yu Gu, Qiushi Zhu, Guangzhi Lei +2
This paper proposes an improved version of DurIAN-E (DurIAN-E 2), which is also a duration informed attention neural network for expressive and high-fidelity text-to-speech (TTS) s…
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis
Yu Gu, Yianrao Bian, Guangzhi Lei +2
This paper introduces an improved duration informed attention neural network (DurIAN-E) for expressive and high-fidelity text-to-speech (TTS) synthesis. Inherited from the original…
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt
Dongchao Yang, Songxiang Liu, Rongjie Huang +2
Expressive text-to-speech (TTS) aims to synthesize different speaking style speech according to human's demands. Nowadays, there are two common ways to control speaking styles: (1)…
Speaker Independent and Multilingual/Mixlingual Speech-Driven Talking Head Generation Using Phonetic Posteriorgrams
Huirong Huang, Zhiyong Wu, Shiyin Kang +9
Generating 3D speech-driven talking head has received more and more attention in recent years. Recent approaches mainly have following limitations: 1) most speaker-independent meth…
DurIAN: Duration Informed Attention Network For Multimodal Synthesis
Chengzhu Yu, Heng Lu, Na Hu +9
In this paper, we present a generic and robust multimodal synthesis system that produces highly natural speech and facial expression simultaneously. The key component of this syste…