Flooring the observation probability for robust ASR in impulsive noise


Impulsive noise usually introduces sudden mismatches between the observation features and the acoustic models trained with clean speech, which drastically degrades the performance of automatic speech recognition (ASR) systems. This paper presents a novel method to directly suppress the adverse effect of impulsive noise on recognition. In this method… (More)


3 Figures and Tables