In this paper, we analyze the problems of the existing interacting multiple model (IMM) and spectral subtraction (SS) approaches and propose a new approach to overcome the problems of these algorithms. Our approach combines the IMM and SS techniques based on a soft decision for speech presence. Results reported on AURORA2 database show that proposed approach shows 14.26% of average relative improvement compared to the IMM algorithm in the speech recognition experiments.