Speech enhancement for telephony name speech recognition

In this paper, we investigate the contribution of the speech enhancement to telephony name speech recognition system that has been of the feature enhancement in noisy environment. Since the masking based subband Kalman filtering (MSKF) method has been shown to have good performance over many existing speech enhancement methods for human listening, we especially examine the MSKF speech enhancement method for the speech recognition system. We evaluate the performance of the speech enhancement methods based on the recorded telephony name speech database. Experimental results show that the recognition error rate of the speech recognition system can be reduced much by using MSKF.