activity
20242026
collaborators

5 papers

cs.LG2026

Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks

Ke Yu, Lu Gao

Pavement condition data is important in providing information regarding the current state of the road network and in determining the needs of maintenance and rehabilitation treatme…

cs.LG2025

Considering Spatial Structure of the Road Network in Pavement Deterioration Modeling

Lu Gao, Ke Yu, Pan Lu

Pavement deterioration modeling is important in providing information regarding the future state of the road network and in determining the needs of preventive maintenance or rehab…

cs.CV2025

DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder

Chenpeng Du, Qi Chen, Tianyu He +5

While recent research has made significant progress in speech-driven talking face generation, the quality of the generated video still lags behind that of real recordings. One reas…

cs.SD2024

Phone-Level Prosody Modelling with GMM-Based MDN for Diverse and Controllable Speech Synthesis

Chenpeng Du, Kai Yu

Generating natural speech with a diverse and smooth prosody pattern is a challenging task. Although random sampling with phone-level prosody distribution has been investigated to g…

eess.AS2024

VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature

Chenpeng Du, Yiwei Guo, Xie Chen +1

The mainstream neural text-to-speech(TTS) pipeline is a cascade system, including an acoustic model(AM) that predicts acoustic feature from the input transcript and a vocoder that…