DCT and Wiener filter based on approach for speech enhancement using a single microphone

Considering the enhancement of speech corrupted by complicated additive noise,a novel algorithm was proposed based on discrete cosine transform(DCT) and Wiener filter using a single microphone.This algorithm did not rely on any speech signal model and could efficiently attain the optimal estimation...

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Main Authors: OU Shi-feng, ZHAO Xiao-hui, GU Hai-jun
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2006-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74659870/
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author OU Shi-feng
ZHAO Xiao-hui
GU Hai-jun
author_facet OU Shi-feng
ZHAO Xiao-hui
GU Hai-jun
author_sort OU Shi-feng
collection DOAJ
description Considering the enhancement of speech corrupted by complicated additive noise,a novel algorithm was proposed based on discrete cosine transform(DCT) and Wiener filter using a single microphone.This algorithm did not rely on any speech signal model and could efficiently attain the optimal estimation of clean speech components using successive noisy speech components and minimum mean square error estimation in DCT domain.Furthermore,it could overcome the disad-vantage of independent assumptions in classic methods for speech components.Simulation results demonstrate that the pro-posed algorithm possesses good performance both in objective and subjective tests with different kinds of noise.
format Article
id doaj-art-747b87e27eb34120b72226a300cc4297
institution Kabale University
issn 1000-436X
language zho
publishDate 2006-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-747b87e27eb34120b72226a300cc42972025-01-14T08:37:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-01869374659870DCT and Wiener filter based on approach for speech enhancement using a single microphoneOU Shi-fengZHAO Xiao-huiGU Hai-junConsidering the enhancement of speech corrupted by complicated additive noise,a novel algorithm was proposed based on discrete cosine transform(DCT) and Wiener filter using a single microphone.This algorithm did not rely on any speech signal model and could efficiently attain the optimal estimation of clean speech components using successive noisy speech components and minimum mean square error estimation in DCT domain.Furthermore,it could overcome the disad-vantage of independent assumptions in classic methods for speech components.Simulation results demonstrate that the pro-posed algorithm possesses good performance both in objective and subjective tests with different kinds of noise.http://www.joconline.com.cn/zh/article/74659870/speech enhancementspeech components estimationdiscrete cosine transformWiener filtersuccessive components dependency
spellingShingle OU Shi-feng
ZHAO Xiao-hui
GU Hai-jun
DCT and Wiener filter based on approach for speech enhancement using a single microphone
Tongxin xuebao
speech enhancement
speech components estimation
discrete cosine transform
Wiener filter
successive components dependency
title DCT and Wiener filter based on approach for speech enhancement using a single microphone
title_full DCT and Wiener filter based on approach for speech enhancement using a single microphone
title_fullStr DCT and Wiener filter based on approach for speech enhancement using a single microphone
title_full_unstemmed DCT and Wiener filter based on approach for speech enhancement using a single microphone
title_short DCT and Wiener filter based on approach for speech enhancement using a single microphone
title_sort dct and wiener filter based on approach for speech enhancement using a single microphone
topic speech enhancement
speech components estimation
discrete cosine transform
Wiener filter
successive components dependency
url http://www.joconline.com.cn/zh/article/74659870/
work_keys_str_mv AT oushifeng dctandwienerfilterbasedonapproachforspeechenhancementusingasinglemicrophone
AT zhaoxiaohui dctandwienerfilterbasedonapproachforspeechenhancementusingasinglemicrophone
AT guhaijun dctandwienerfilterbasedonapproachforspeechenhancementusingasinglemicrophone