Noise cancellation method for speech signal by using an extension type UKF

摘要

Numerous noise suppression methods for speech signals have been developed up to now. In this paper, a new method to suppress noise in speech signals is proposed by use of a single microphone. The proposed method considering non-Gaussian noise is proposed theoretically by introducing an expansion expression or Bayes' theorem and considering nonlinear correlation information between the speech signal and the observation data. Specifically, by selecting appropriately the sample points and the weight coefficients, an estimation algorithm of the speech signal for nonlinear system is derived on the basis of the expansion expression of Bayes' theorem. Moreover, expansion coefficients in the estimation algorithm are realized by considering the liner and nonlinear correlation information. Improvement for the precise estimation is expected by considering non-Gaussian property. The effectiveness of the proposed method is confirmed by applying it to real speech signals contaminated by noises.