IEICE Trans - Impact and High-Pitch Noise Suppression Based on Spectral Entropy

Impact and High-Pitch Noise Suppression Based on Spectral Entropy

Arata KAWAMURA  Noboru HAYASAKA  Naoto SASAOKA

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E99-A   No.4   pp.777-787
Publication Date: 2016/04/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E99.A.777
Type of Manuscript: PAPER
Category: Engineering Acoustics
Keyword:
zero phase signal,  speech enhancement,  noise suppression,  impact noise,  damped oscillation,

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Summary:
We propose an impact and high-pitch noise-suppression method based on spectral entropy. Spectral entropy takes a large value for flat spectral amplitude and a small value for spectra with several lines. We model the impact noise as a flat spectral signal and its damped oscillation as a high-pitch periodic signal consisting of spectra with several lines. We discriminate between the current noise situations by using spectral entropy and adaptively change the noise-suppression parameters used in a zero phase-based impact-noise-suppression method. Simulation results show that the proposed method can improve the perceptual evaluation of the speech quality and speech-recognition rate compared to conventional methods.