Dynamic features in the linear domain for robust automatic speech recognition in a reverberant environment

Since the MFCC are calculated from logarithmic spectra, the delta and delta-delta are considered as difference operations in a logarithmic domain. In a reverberant environment, speech signals have trailing reverberations, whose power is plotted as a long-term exponential decay. This means the logarithmic delta value tends to remain large for a long time. This paper proposes a delta feature calculated in the linear domain, due to the rapid decay in reverberant environments. In an experiment using an evaluation framework (CENSREC-4), significant improvements were found in reverberant situations by simply replacing the MFCC dynamic features with the proposed dynamic features.