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Speech Enhancement Based on Mixture Hidden Filter Model (HFM) Under Nonstationary Noise  

강상기 (서울대학교 대학원 전기·컴퓨터공학부)
백성준 (전남대학교 전자컴퓨터정보통신공학부)
이기용 (숭실대학교 정보통신과)
성굉모 (서울대학교 전기·컴퓨터공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.21, no.4, 2002 , pp. 387-393 More about this Journal
Abstract
The enhancement technique of noise signal using mixture HFM (Midden Filter Model) are proposed. Given the parameters of the clean signal and noise, noisy signal is modeled by a linear state-space model with Markov switching parameters. Estimation of state vector is required for estimating original signal. The estimation procedure is based on mixture interacting multiple model (MIMM) and the estimator of speech is given by the weighted sum of parallel Kalman filters operating interactively. Simulation results showed that the proposed method offers performance gains relative to the previous results with slightly increased complexity.
Keywords
Miture HFM (hiden filter model); Mixture IMM(interacting multiple model) Multiple kalman filter; Nonstationary noise;
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