2 papers
eess.AS2024
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement
Kohei Saijo, Gordon Wichern, François G. Germain +2
Time-frequency (TF) domain dual-path models achieve high-fidelity speech separation. While some previous state-of-the-art (SoTA) models rely on RNNs, this reliance means they lack…
eess.AS2024
Enhanced Reverberation as Supervision for Unsupervised Speech Separation
Kohei Saijo, Gordon Wichern, François G. Germain +2
Reverberation as supervision (RAS) is a framework that allows for training monaural speech separation models from multi-channel mixtures in an unsupervised manner. In RAS, models a…