Frame-period adaptation for speaking rate robust speech recognition

This paper describes a frame-period adaptation method for speaking rate robust speech recognition. The proposed method determines an appropriate frame-period for each phrase by measuring its speaking rate or computing the acoustic likelihood with a set of frame-periods. Experimental results on spontaneous speech recognition show that the proposed method is effective for slower utterance. Actually, we can get about a 15% error reduction in error rate for slower utterance by using the likelihood based frameperiod determination.