4th Order Moment-Based Linear Prediction for Estimating Ringing Sound of Impulsive Noise in Speech Enhancement

Naoto SASAOKA  Eiji AKAMATSU  Arata KAWAMURA  Noboru HAYASAKA  Yoshio ITOH  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E103-A   No.10   pp.1248-1251
Publication Date: 2020/10/01
Publicized: 2020/04/02
Online ISSN: 1745-1337
DOI: 10.1587/transfun.2020EAL2005
Type of Manuscript: LETTER
Category: Digital Signal Processing
Keyword: 
speech enhancement,  impulsive noise,  adaptive filter,  high order statistics,  

Full Text: FreePDF

Summary: 
Speech enhancement has been proposed to reduce the impulsive noise whose frequency characteristic is wideband. On the other hand, it is challenging to reduce the ringing sound, which is narrowband in impulsive noise. Therefore, we propose the modeling of the ringing sound and its estimation by a linear predictor (LP). However, it is difficult to estimate the ringing sound only in noisy speech due to the auto-correlation property of speech. The proposed system adopts the 4th order moment-based adaptive algorithm by noticing the difference between the 4th order statistics of speech and impulsive noise. The brief analysis and simulation results show that the proposed system has the potential to reduce ringing sound while keeping the quality of enhanced speech.