Blind source separation of speech signals using filter banks

The aim of this thesis is to improve the perceived quality of digital hearing aids through the introduction of source segregation algorithms that attenuate undesired speech and noise into the psychoacoustic model of the human ear. It proposes the use of low-delay modulated filter banks to mimic the critical bands of the human ear to accomplish blind source separation. This thesis will cover theory and results for modulated filter banks and blind source separation.