Speech enhancement based unscented particle filter with non-gaussian noises
Wei Yin · Chinese Journal of Radio Science · 2009
Considering speech signals with color noises,a novel speech enhancement technique is proposed based on unscented particle filter(UPF).The technique models speech signals with time-varying autoregressive(TVAR) models.Unscented particle filter is applied to estimate the parameters of AR model and filter color noises.Instead of most popular choice of proposal distribution,Unscented particle filter uses an Unscented Kalman filter(UKF) to generate the importance proposal distribution.It allows the particle filter to incorporate the latest observations into a prior updating routine so as to improve estimation performance greatly with fewer particles.Simulation results demonstrate that the proposed algorithm possesses good performance with color noises.