음성과학 (Speech Sciences)
- 제11권4호
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- Pages.53-66
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- 2004
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- 1226-5276(pISSN)
음성 향상을 위한 NPHMM을 갖는 IMM 알고리즘
IMM Algorithm with NPHMM for Speech Enhancement
초록
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.
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