<FONT face=Verdana>A new interacting multiple model(IMM) algorithm based on particle filter is proposed to track a randomly moving speaker. Based on the characteristic of speaker tracking problem

the proposed method represents the dynamic model with Markov jump system and filtering the system state with particle filter. The interacting process is accomplished by properly selecting the sampling region. Thus

not only the number of particles in each mode can be controlled so that the degeneracy problem around mode transition is avoided

but also the Gaussian assumption of posteriori probability density function of the state is cancelled. Simulation results show the validity of the proposed method.