Table of Contents
ISRN Mechanical Engineering
Volume 2012, Article ID 919234, 9 pages
Review Article

Single Channel Speech Enhancement Techniques in Spectral Domain

Department of Systems Innovations, Graduate School of Engineering Science, Osaka University, 1–3 Machikaneyama, Osaka, Toyonaka 560-8531, Japan

Received 13 February 2012; Accepted 30 April 2012

Academic Editor: D. Aggelis

Copyright © 2012 Arata Kawamura et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents single-channel speech enhancement techniques in spectral domain. One of the most famous single channel speech enhancement techniques is the spectral subtraction method proposed by S.F. Boll in 1979. In this method, an estimated speech spectrum is obtained by simply subtracting a preestimated noise spectrum from an observed one. Hence, the spectral subtraction method is not concerned with speech spectral properties. It is well known that the spectral subtraction method produces an annoying artificial noise in the extracted speech signal. On the other hand, recent successful speech enhancement methods positively utilize the speech property and achieve an efficient speech enhancement capability. This paper presents a historical review about some speech estimation techniques and explicitly states the difference between their theoretical back-ground. Moreover, to evaluate their speech enhancement capabilities, we perform computer simulations. The results show that an adaptive speech enhancement method based on MAP estimation gives the best noise reduction capability in comparison to other speech enhancement methods presented in this paper.