Exploiting primitive grouping constraints for noise robust automatic speech recognition : studies with simultaneous speech.

Abstract

Significant strides have been made in the field of automatic speech recognition over the past three decades. However, the systems are not robust; their performance degrades in the presence of even moderate amounts of noise. This thesis presents an approach to developing a speech recognition system that takes inspiration firom the approach of human speech recognition