5 papers
AudioMoG: Guiding Audio Generation with Mixture-of-Guidance
Junyou Wang, Zehua Chen, Binjie Yuan +4
The design of diffusion-based audio generation systems has been investigated from diverse perspectives, such as data space, network architecture, and conditioning techniques, while…
Exploiting the Prior of Generative Time Series Imputation
YuYang Miao, Chang Li, Zehua Chen
Time series imputation, i.e., filling the missing values of a time recording, finds various applications in electricity, finance, and weather modelling. Previous methods have intro…
Audio Super-Resolution with Latent Bridge Models
Chang Li, Zehua Chen, Liyuan Wang +1
Audio super-resolution (SR), i.e., upsampling the low-resolution (LR) waveform to the high-resolution (HR) version, has recently been explored with diffusion and bridge models, whi…
FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation
Yuxuan Jiang, Zehua Chen, Zeqian Ju +3
Text-to-audio (T2A) generation has achieved promising results with the recent advances in generative models. However, because of the limited quality and quantity of temporally-alig…
Bridge-SR: Schrödinger Bridge for Efficient SR
Chang Li, Zehua Chen, Fan Bao +1
Speech super-resolution (SR), which generates a waveform at a higher sampling rate from its low-resolution version, is a long-standing critical task in speech restoration. Previous…