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

<p/> <p>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 spec...

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Main Author: H&#228;ndel Peter
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://asp.eurasipjournals.com/content/2007/096384
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spelling doaj-81c321db3188404384b0cae8ab46dae62020-11-24T22:18:53ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071096384Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement MethodsH&#228;ndel Peter<p/> <p>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.</p> http://asp.eurasipjournals.com/content/2007/096384
collection DOAJ
language English
format Article
sources DOAJ
author H&#228;ndel Peter
spellingShingle H&#228;ndel Peter
Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
EURASIP Journal on Advances in Signal Processing
author_facet H&#228;ndel Peter
author_sort H&#228;ndel Peter
title Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
title_short Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
title_full Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
title_fullStr Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
title_full_unstemmed Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
title_sort power spectral density error analysis of spectral subtraction type of speech enhancement methods
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2007-01-01
description <p/> <p>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.</p>
url http://asp.eurasipjournals.com/content/2007/096384
work_keys_str_mv AT h228ndelpeter powerspectraldensityerroranalysisofspectralsubtractiontypeofspeechenhancementmethods
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