EURASIP Journal on Advances in Signal Processing 
Volume 2007 (2007), Article ID 96384, 9 pages
doi:10.1155/2007/96384
Research Article

Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods

Peter Händel

Signal Processing Lab, School of Electrical Engineering, Royal Institute of Technology, Stockholm 100 44, SE, Sweden

Received 8 August 2005; Revised 28 April 2006; Accepted 16 July 2006

Recommended by Richard Heusdens

Abstract

A theoretical framework for analysis of speech enhancement algorithms is introduced for performance assessment of spectral subtraction type of methods. The quality of the enhanced speech is related to physical quantities of the speech and noise (such as stationarity time and spectral flatness), as well as to design variables of the noise suppressor. The derived theoretical results are compared with the outcome of subjective listening tests as well as successful design strategies, performed by independent research groups.