Sivaram, G. S. V. S.Hermansky, Hynek2010-02-112010-02-112010-02-112008https://infoscience.epfl.ch/handle/20.500.14299/47114This paper proposes modifications to the Multi-resolution RASTA (MRASTA) feature extraction technique for the automatic speech recognition (ASR). By emulating asymmetries of the temporal receptive field (TRF) profiles of auditory mid-brain neurons, we obtain more than $13\% $ relative improvement in word error rate on OGI-Digits database. Experiments on TIMIT database confirm that proposed modifications are indeed useful.text::conference output::conference paper not in proceedings