Speech enhancement using normalized cumulant-based adaptive algorithm for transient noise
Naoto Sasaoka, Kazumasa Ono, Yoshio Itoh · 2014
Speech enhancement has been proposed to reduce noise in noisy speech. However, it is difficult to reduce the transient noise with a narrow band component which is associated with a natural oscillation of the object. In order to solve the problem, we have proposed the speech enhancement based on a linear predictor with 4th order cumulant adaptive algorithm. However, the divergence of the proposed adaptive algorithm occurs due to too large step size. Thus, this paper proposes a normalized 4th order cumulant based adaptive algorithm. The convergence of the adaptive algorithm is guaranteed by the proposed adaptive algorithm.