IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508

This article has now been updated. Please use the final version.

4th Order Moment-Based Linear Prediction for Estimating Ringing Sound of Impulsive Noise in Speech Enhancement
Naoto SASAOKAEiji AKAMATSUArata KAWAMURANoboru HAYASAKAYoshio ITOH
Author information
JOURNAL RESTRICTED ACCESS Advance online publication

Article ID: 2020EAL2005

Details
Abstract

Speech enhancement has been proposed to reduce the impulsive noise whose frequency characteristic is wide band. 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.

Content from these authors
© 2020 The Institute of Electronics, Information and Communication Engineers
feedback
Top