Search Results for author:
Found 2 papers, 2 papers with code
TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion
TDANet serves as the architectural foundation for the auditory and visual networks within TDFNet, offering an efficient model with fewer parameters.
Ranked #1 on
Speech Separation
on LRS2
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
This is the first time-frequency domain audio-visual speech separation method to outperform all contemporary time-domain counterparts.
Ranked #1 on
Speech Separation
on VoxCeleb2
