Robust speech enhancement using amplitude spectral estimator
This paper focuses on a class of speech enhancement systems using the amplitude spectral estimates of noisy speech and noise to drive a Wiener filter to suppress simultaneously the ensemble of degradations picked up by microphones. A simple stereo microphone set with left and right channels can be...
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2000
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Online Access: | http://irep.iium.edu.my/38215/1/Robust_speech_enhancement_using_amplitude_spectral_estimator.pdf http://irep.iium.edu.my/38215/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=860170 |
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my.iium.irep.382152020-12-16T15:43:13Z http://irep.iium.edu.my/38215/ Robust speech enhancement using amplitude spectral estimator Abdul Rahman, Abdul Wahab Chong, Tan Eng Abut, Huseyin T Technology (General) This paper focuses on a class of speech enhancement systems using the amplitude spectral estimates of noisy speech and noise to drive a Wiener filter to suppress simultaneously the ensemble of degradations picked up by microphones. A simple stereo microphone set with left and right channels can be used to provide enough separation that unwanted signals can be reduced significantly to yield acceptable quality speech signal for handsfree telephony application in a vehicular environment. A generalized transform approach was introduced and experimental results show great potential when using the DCT as alternatives to the traditional Fourier transform approach to derive the amplitude spectral estimates of the corrupted speech signals and the noise process. 2000 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38215/1/Robust_speech_enhancement_using_amplitude_spectral_estimator.pdf Abdul Rahman, Abdul Wahab and Chong, Tan Eng and Abut, Huseyin (2000) Robust speech enhancement using amplitude spectral estimator. In: 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'00), 5-9 June, 2000, Istanbul, Turkey. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=860170 |
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T Technology (General) Abdul Rahman, Abdul Wahab Chong, Tan Eng Abut, Huseyin Robust speech enhancement using amplitude spectral estimator |
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This paper focuses on a class of speech enhancement systems
using the amplitude spectral estimates of noisy speech and noise to drive a Wiener filter to suppress simultaneously the ensemble of degradations picked up by microphones. A simple stereo microphone set with left and right channels can be used to provide enough separation that unwanted signals can be reduced significantly to yield acceptable quality speech signal for handsfree telephony application in a vehicular environment. A generalized transform approach was introduced and experimental results show great potential when using the DCT as alternatives to the traditional Fourier transform approach to derive the amplitude spectral estimates of the corrupted speech signals and the noise process. |
format |
Conference or Workshop Item |
author |
Abdul Rahman, Abdul Wahab Chong, Tan Eng Abut, Huseyin |
author_facet |
Abdul Rahman, Abdul Wahab Chong, Tan Eng Abut, Huseyin |
author_sort |
Abdul Rahman, Abdul Wahab |
title |
Robust speech enhancement using amplitude spectral estimator |
title_short |
Robust speech enhancement using amplitude spectral estimator |
title_full |
Robust speech enhancement using amplitude spectral estimator |
title_fullStr |
Robust speech enhancement using amplitude spectral estimator |
title_full_unstemmed |
Robust speech enhancement using amplitude spectral estimator |
title_sort |
robust speech enhancement using amplitude spectral estimator |
publishDate |
2000 |
url |
http://irep.iium.edu.my/38215/1/Robust_speech_enhancement_using_amplitude_spectral_estimator.pdf http://irep.iium.edu.my/38215/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=860170 |
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1687393051925807104 |
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13.211869 |