Robust connected digit recognition using speech enhancement and an auditory model front-end

This paper addresses the problem of speech recognition in noisy conditions. In particular, the paper examines the use of an auditory model as a front-end for a HMM-based speech recognition system. To further improve the performance of the auditory-based recognition system in background noise, the input speech is pre-processed using an algorithm for speech enhancement Preliminary results indicate that the combination of speech enhancement pre-processing and the auditory-model front-end provides an improvement in recognition performance in noisy conditions over the system without speech enhancement.