IMM Algorithm with NPHMM for Speech Enhancement

음성 향상을 위한 NPHMM을 갖는 IMM 알고리즘

  • 이기용 (숭실대학교 정보통신전자공학부)
  • Published : 2004.12.01

Abstract

The nonlinear speech enhancement method with interactive parallel-extended Kalman filter is applied to speech contaminated by additive white noise. To represent the nonlinear and nonstationary nature of speech. we assume that speech is the output of a nonlinear prediction HMM (NPHMM) combining both neural network and HMM. The NPHMM is a nonlinear autoregressive process whose time-varying parameters are controlled by a hidden Markov chain. The simulation results shows that the proposed method offers better performance gains relative to the previous results [6] with slightly increased complexity.