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

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 096384 (2006) Cite this article

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.

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

    Peter Händel

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  1. Peter Händel
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Correspondence to Peter Händel.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Händel, P. Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods. EURASIP J. Adv. Signal Process. 2007, 096384 (2006). https://doi.org/10.1155/2007/96384

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