A novel associative memory approach to speech enhancement in a vehicular environment

Numerous attempts have been undertaken to apply the spectral subtraction method to cancel noise perturbations but these efforts have yet to produce an algorithm that is able to adapt well to the environmental changes in the perturbations. In addition, the variants of the spectral subtraction method...

Full description

Bibliographic Details
Main Authors:	Abdul Rahman, Abdul Wahab, Quek, Chai
Format:	Article
Language:	English
Published:	Elsevier Limited 2009
Subjects:	QA75 Electronic computers. Computer science T58.5 Information technology
Online Access:	http://irep.iium.edu.my/9582/ http://irep.iium.edu.my/9582/ http://irep.iium.edu.my/9582/1/A_novel_associative_memory_approach_to_speech_enhancement.pdf

id	iium-9582
recordtype	eprints
spelling	iium-95822013-09-14T14:42:09Z http://irep.iium.edu.my/9582/ A novel associative memory approach to speech enhancement in a vehicular environment Abdul Rahman, Abdul Wahab Quek, Chai QA75 Electronic computers. Computer science T58.5 Information technology Numerous attempts have been undertaken to apply the spectral subtraction method to cancel noise perturbations but these efforts have yet to produce an algorithm that is able to adapt well to the environmental changes in the perturbations. In addition, the variants of the spectral subtraction method so far proposed in the literature would require a non-voice activity detector (NVAD), for a single microphone system, to store the perturbation. This is used as an estimate for the reference signal. Inaccuracy in the perturbation estimates causes the cleaned speech to be corrupted by musical artifacts, which is unacceptable. Post processing of signals corrupted by the musical artifacts is very costly. This paper provides an alternative approach that employs associative memory for speech enhancement. Extensive comparison is made using the soft computing approaches for noise cancellation based on associative memories. A set of stereo microphones captures the corrupted speech in a vehicle and is used to point to the closest associative memory location. The Wiener filter approach is used to cancel the noise. The paper discusses novel examples of the associative memories using the cerebellum model for noise modeling. Experimental results show the potential of these novel soft computing architectures in generating and adapting the required Weiner filters to cancel perturbation even at signal to noise ratio (SNR) of less than -13 dB. Elsevier Limited 2009-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/9582/1/A_novel_associative_memory_approach_to_speech_enhancement.pdf Abdul Rahman, Abdul Wahab and Quek, Chai (2009) A novel associative memory approach to speech enhancement in a vehicular environment. Expert System with Application, 36 (10). pp. 12120-12130. ISSN 09574174 10.1016/j.eswa.2009.03.071
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science T58.5 Information technology
spellingShingle	QA75 Electronic computers. Computer science T58.5 Information technology Abdul Rahman, Abdul Wahab Quek, Chai A novel associative memory approach to speech enhancement in a vehicular environment
description	Numerous attempts have been undertaken to apply the spectral subtraction method to cancel noise perturbations but these efforts have yet to produce an algorithm that is able to adapt well to the environmental changes in the perturbations. In addition, the variants of the spectral subtraction method so far proposed in the literature would require a non-voice activity detector (NVAD), for a single microphone system, to store the perturbation. This is used as an estimate for the reference signal. Inaccuracy in the perturbation estimates causes the cleaned speech to be corrupted by musical artifacts, which is unacceptable. Post processing of signals corrupted by the musical artifacts is very costly. This paper provides an alternative approach that employs associative memory for speech enhancement. Extensive comparison is made using the soft computing approaches for noise cancellation based on associative memories. A set of stereo microphones captures the corrupted speech in a vehicle and is used to point to the closest associative memory location. The Wiener filter approach is used to cancel the noise. The paper discusses novel examples of the associative memories using the cerebellum model for noise modeling. Experimental results show the potential of these novel soft computing architectures in generating and adapting the required Weiner filters to cancel perturbation even at signal to noise ratio (SNR) of less than -13 dB.
format	Article
author	Abdul Rahman, Abdul Wahab Quek, Chai
author_facet	Abdul Rahman, Abdul Wahab Quek, Chai
author_sort	Abdul Rahman, Abdul Wahab
title	A novel associative memory approach to speech enhancement in a vehicular environment
title_short	A novel associative memory approach to speech enhancement in a vehicular environment
title_full	A novel associative memory approach to speech enhancement in a vehicular environment
title_fullStr	A novel associative memory approach to speech enhancement in a vehicular environment
title_full_unstemmed	A novel associative memory approach to speech enhancement in a vehicular environment
title_sort	novel associative memory approach to speech enhancement in a vehicular environment
publisher	Elsevier Limited
publishDate	2009
url	http://irep.iium.edu.my/9582/ http://irep.iium.edu.my/9582/ http://irep.iium.edu.my/9582/1/A_novel_associative_memory_approach_to_speech_enhancement.pdf
first_indexed	2023-09-18T20:19:14Z
last_indexed	2023-09-18T20:19:14Z
_version_	1777407995049672704

A novel associative memory approach to speech enhancement in a vehicular environment

Similar Items