CMAC spectral subtraction for speech enhancement

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6145/38205
Uncontrolled Keywords:	CMAC
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Ahmad Nazreen Mohd Shamsuri (PT)
Date Deposited:	23 Sep 2014 08:57
Last Modified:	16 Dec 2020 23:44
URI:	http://irep.iium.edu.my/id/eprint/38205

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