Search Results for author:
Found 2 papers, 1 papers with code
MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing
Our experimental results first confirmed the robustness of our MiTAS on two types of perturbations in mixed audio.
Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering
Substantial effort has been reported based on approaches over spectrogram, which is well known as the standard time-and-frequency cross-domain representation for speech signals.
Ranked #24 on
Speech Separation
on WSJ0-2mix
Cannot find the paper you are looking for? You can
Submit a new open access paper.
