IMM-based estimation for slowly evolving environments

We propose a new approach to environmental parameter estimation for robust speech recognition in adverse conditions. The proposed method is based on the interacting multiple model (IMM) technique widely used in the area of multiple target tracking. Through a number of continuous digit recognition experiments, we can find the effectiveness of the IMM-based approach in slowly evolving environment conditions.