Cross-Utterance Conditioned VAE for Speech Generation

no code implementations • 8 Sep 2023 • Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun

Experimental results on the LibriTTS datasets demonstrate that our proposed models significantly enhance speech synthesis and editing, producing more natural and expressive speech.

Speech Synthesis

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications

1 code implementation • 22 May 2022 • Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li

The design of MAFENN framework and algorithm are dedicated to enhance the learning capability of the feedfoward DL networks or their variations with the simple data feedback.

Denoising Intelligent Communication

Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech

1 code implementation • ACL 2022 • Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang

Modelling prosody variation is critical for synthesizing natural and expressive speech in end-to-end text-to-speech (TTS) systems.

M2N: Mesh Movement Networks for PDE Solvers

1 code implementation • 24 Apr 2022 • Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang

However, mesh movement methods, such as the Monge-Ampere method, require the solution of auxiliary equations, which can be extremely expensive especially when the mesh is adapted frequently.

Graph Attention

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

7 code implementations • ICLR 2022 • Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang

In this paper, we extend the theory of trust region learning to MARL.

LEMMA Multi-agent Reinforcement Learning +2