Journal of E-Technology Seyed Farid Mousavipour, Saeed Seyedtabaii 2 4 2011 IPOMS: an Internet Public Opinion Monitoring System Jie Ding, Jungang Xu In this paper, performance of a dual particle-number Rao-Blackwellized particle filter (RBPF) for speech enhancement is evaluated. Speech is corrupted by additive white, colored and real industrial noises that degrade its intelligibility. The performance indexes are: Quality of the processed speech scored by PESQ and computation time. The simulation results indicate that the RBPF methods outperform some well known Kalman based algorithms in the cost of more computation time. The weakness, then, is overcome by the dual particle-number RBPF that saves the quality of the processed speech while reduces remarkably the computation time.