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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2006-01-01
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Series: | Tongxin xuebao |
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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 |