Recursive Estimation using the Hidden Filter Model for Enhancing Noisy Speech

  • Kang, Yeong-Tae (Department of Electronics Engineering, Changwon National University)
  • Published : 1996.09.01

Abstract

A recursive estimation for the enhancement of white noise contaminated speech is proposed. This method is based on the Kalman filter with time-varying parametric model for the clean speech signal. Then, hidden filter model are used to model the clean speech signal. An approximation improvement of 4-5 dB in SNR is achieved at 5 and 10 dB input SNR, respectively.

Keywords