238 citations · 423 across the 30 of their papers we have counts for
30 papers
ReFlow-TTS: A Rectified Flow Model for High-fidelity Text-to-Speech
Wenhao Guan, Qi Su, Haodong Zhou +4
The diffusion models including Denoising Diffusion Probabilistic Models (DDPM) and score-based generative models have demonstrated excellent performance in speech synthesis tasks.…
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge
Wenhao Guan, Tao Li, Yishuang Li +3
With the demand for autonomous control and personalized speech generation, the style control and transfer in Text-to-Speech (TTS) is becoming more and more important. In this paper…
RealLiFe: Real-Time Light Field Reconstruction via Hierarchical Sparse Gradient Descent
Yijie Deng, Lei Han, Tianpeng Lin +3
With the rise of Extended Reality (XR) technology, there is a growing need for real-time light field reconstruction from sparse view inputs. Existing methods can be classified into…
Community Detection Graph Convolutional Network for Overlap-Aware Speaker Diarization
Jie Wang, Zhicong Chen, Haodong Zhou +2
The clustering algorithm plays a crucial role in speaker diarization systems. However, traditional clustering algorithms suffer from the complex distribution of speaker embeddings…
AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation
Lin Li, Jianing Qiu, Michael Spratling
Deep neural networks are vulnerable to adversarial examples. Adversarial training (AT) is an effective defense against adversarial examples. However, AT is prone to overfitting whi…
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing
Lin Li, Michael Spratling
Deep neural networks can be easily fooled into making incorrect predictions through corruption of the input by adversarial perturbations: human-imperceptible artificial noise. So f…