Automatic speech recognition (ASR) has suffered great performance degradation when facing low-resource languages with limited training data. In this work, we propose a series of training strategies to ...

Self-supervised learning has recently been implemented widely in speech processing areas, replacing conventional acoustic feature extraction to extract meaningful information from speech. One of the ...

The field of voice separation has made revolutionary progress in addressing the challenging 'cocktail party problem' with the ...