This work explores different methods for combining estimated posterior probabilities from Multi-RASTA (MRASTA) and Perceptual Linear Prediction (PLP) features for Automatic Speech Recognition (ASR). The improved performance by the ASR system indicates the complementary nature of information present in MRASTA and PLP. Among the different combining methods explored, product gives best performance.