Static and dynamic features using Mel frequency cepstral coefficients (MFCCs) are widely used in automatic speech recognition. Since the MFCCs are calculated from logarithmic spectra, the delta and delta-delta are considered to be difference operations in the logarithmic domain. In a reverberant environment, speech signals have late reverberations, whose power is plotted as a long-term exponential decay. This tends to cause the logarithmic delta to keep the constant value for a long time. This paper considers new schemes for calculating delta and delta-delta features that quickly diminish in the reverberant segments. Experiments using the evaluation framework for reverberant environments (CENSREC-4) showed significant improvements by simply replacing the MFCC dynamic features with the proposed dynamic features. © 2010 IEEE.