EUROSPEECH 2001 Scandinavia
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  with slightly increased complexity.
Bibliographic reference. Lee, Yunjung / Lee, Joohun / Lee, Ki Yong / Shirai, Katsuhiko (2001): "Speech enhancement based on IMM with NPHMM", In EUROSPEECH-2001, 1875-1878.