CMAC spectral subtraction for speech enhancement

One of the major problems in speech signal enhancement and cancellation of additive noise is the availability of a reference signal. A comprehensive and efficient technique for speech enhancement based an extension of the spectral subtraction method is developed. In our proposed model, enhancement...

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Bibliographic Details
Main Authors:	Abdul Rahman, Abdul Wahab, Eng, Chong Tan, Abut, Huseyin
Format:	Conference or Workshop Item
Language:	English
Published:	2001
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38205/ http://irep.iium.edu.my/38205/ http://irep.iium.edu.my/38205/1/CMAC_spectral_subtraction_for_speech_enhancement.pdf

id	iium-38205
recordtype	eprints
spelling	iium-382052015-01-06T08:03:04Z http://irep.iium.edu.my/38205/ CMAC spectral subtraction for speech enhancement Abdul Rahman, Abdul Wahab Eng, Chong Tan Abut, Huseyin T Technology (General) One of the major problems in speech signal enhancement and cancellation of additive noise is the availability of a reference signal. A comprehensive and efficient technique for speech enhancement based an extension of the spectral subtraction method is developed. In our proposed model, enhancement is achieved by using a class of associative memory based on the cerebellar model arithmetic computer (CMAC) as a robust method to estimate the reference signal. CMAC can learn very fast and it can approximate a wide variety of non-linear functions. Thus the learning algorithm of CMAC can be integrated with the spectral subtraction method to produce a system that allows the noise estimate to be learned adaptively. The effectiveness of the architecture is demonstrated on a speech corrupted with very low signal to noise ratio (from -5db to -20db) on a vehicular environment. 2001-08-16 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38205/1/CMAC_spectral_subtraction_for_speech_enhancement.pdf Abdul Rahman, Abdul Wahab and Eng, Chong Tan and Abut, Huseyin (2001) CMAC spectral subtraction for speech enhancement. In: 6th International Symposium on Signal Processing and Its Applications (ISSPA 2001), 13 Aug.-16 Aug. 2001, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=950246&tag=1
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Abdul Rahman, Abdul Wahab Eng, Chong Tan Abut, Huseyin CMAC spectral subtraction for speech enhancement
description	One of the major problems in speech signal enhancement and cancellation of additive noise is the availability of a reference signal. A comprehensive and efficient technique for speech enhancement based an extension of the spectral subtraction method is developed. In our proposed model, enhancement is achieved by using a class of associative memory based on the cerebellar model arithmetic computer (CMAC) as a robust method to estimate the reference signal. CMAC can learn very fast and it can approximate a wide variety of non-linear functions. Thus the learning algorithm of CMAC can be integrated with the spectral subtraction method to produce a system that allows the noise estimate to be learned adaptively. The effectiveness of the architecture is demonstrated on a speech corrupted with very low signal to noise ratio (from -5db to -20db) on a vehicular environment.
format	Conference or Workshop Item
author	Abdul Rahman, Abdul Wahab Eng, Chong Tan Abut, Huseyin
author_facet	Abdul Rahman, Abdul Wahab Eng, Chong Tan Abut, Huseyin
author_sort	Abdul Rahman, Abdul Wahab
title	CMAC spectral subtraction for speech enhancement
title_short	CMAC spectral subtraction for speech enhancement
title_full	CMAC spectral subtraction for speech enhancement
title_fullStr	CMAC spectral subtraction for speech enhancement
title_full_unstemmed	CMAC spectral subtraction for speech enhancement
title_sort	cmac spectral subtraction for speech enhancement
publishDate	2001
url	http://irep.iium.edu.my/38205/ http://irep.iium.edu.my/38205/ http://irep.iium.edu.my/38205/1/CMAC_spectral_subtraction_for_speech_enhancement.pdf
first_indexed	2023-09-18T20:54:51Z
last_indexed	2023-09-18T20:54:51Z
_version_	1777410236142845952

CMAC spectral subtraction for speech enhancement

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