Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility

Adaptive Noise Cancellation (ANC) systems with selectable algorithms refer to ANC systems that are able to change the adaptation algorithm based on the eigenvalue spread of the noise. These systems can have dual inputs based on the conventional ANC structure or a single input based on the Adaptive L...

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Main Authors:	Roshahliza, M. Ramli, Salina, Abdul Samad, Noor, Ali O. Abid
Format:	Article
Language:	English
Published:	IAES 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/23780/ http://umpir.ump.edu.my/id/eprint/23780/ http://umpir.ump.edu.my/id/eprint/23780/ http://umpir.ump.edu.my/id/eprint/23780/1/BEEI_Dec2018.pdf

id	ump-23780
recordtype	eprints
spelling	ump-237802019-01-29T03:33:44Z http://umpir.ump.edu.my/id/eprint/23780/ Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility Roshahliza, M. Ramli Salina, Abdul Samad Noor, Ali O. Abid TK Electrical engineering. Electronics Nuclear engineering Adaptive Noise Cancellation (ANC) systems with selectable algorithms refer to ANC systems that are able to change the adaptation algorithm based on the eigenvalue spread of the noise. These systems can have dual inputs based on the conventional ANC structure or a single input based on the Adaptive Line Enhancer (ALE) structure. This paper presents a comparison of the performance of these two systems using objective and subjective measurements for speech intelligibility. The parameters used to objectively compare the systems are the Mean Square Error (MSE) and the output Signal to Noise Ratio (SNR). For subjective evaluation, listening tests were evaluated using the Mean Opinion Score (MOS) technique. The outcomes demonstrate that for both objective and subjection evaluations, the single input ALE with selectable algorithms (S-ALE) system outperforms that of the dual input ANC with selectable algorithm (S-ANC) in terms of better steady-state MSE by 10%, higher SNR values for most types of noise, higher scores in most of the questions in the MOS questionnaire and a higher acceptance rate for speech quality. IAES 2018-12 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/23780/1/BEEI_Dec2018.pdf Roshahliza, M. Ramli and Salina, Abdul Samad and Noor, Ali O. Abid (2018) Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility. Bulletin of Electrical Engineering and Informatics, 7 (4). pp. 570-579. ISSN 2302-9285 http://journal.portalgaruda.org/index.php/EEI/article/view/1183 http://dx.doi.org/10.11591/eei.v7i4.1183
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Roshahliza, M. Ramli Salina, Abdul Samad Noor, Ali O. Abid Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility
description	Adaptive Noise Cancellation (ANC) systems with selectable algorithms refer to ANC systems that are able to change the adaptation algorithm based on the eigenvalue spread of the noise. These systems can have dual inputs based on the conventional ANC structure or a single input based on the Adaptive Line Enhancer (ALE) structure. This paper presents a comparison of the performance of these two systems using objective and subjective measurements for speech intelligibility. The parameters used to objectively compare the systems are the Mean Square Error (MSE) and the output Signal to Noise Ratio (SNR). For subjective evaluation, listening tests were evaluated using the Mean Opinion Score (MOS) technique. The outcomes demonstrate that for both objective and subjection evaluations, the single input ALE with selectable algorithms (S-ALE) system outperforms that of the dual input ANC with selectable algorithm (S-ANC) in terms of better steady-state MSE by 10%, higher SNR values for most types of noise, higher scores in most of the questions in the MOS questionnaire and a higher acceptance rate for speech quality.
format	Article
author	Roshahliza, M. Ramli Salina, Abdul Samad Noor, Ali O. Abid
author_facet	Roshahliza, M. Ramli Salina, Abdul Samad Noor, Ali O. Abid
author_sort	Roshahliza, M. Ramli
title	Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility
title_short	Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility
title_full	Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility
title_fullStr	Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility
title_full_unstemmed	Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility
title_sort	objective and subjective evaluations of adaptive noise cancellation systems with selectable algorithms for speech intelligibility
publisher	IAES
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23780/ http://umpir.ump.edu.my/id/eprint/23780/ http://umpir.ump.edu.my/id/eprint/23780/ http://umpir.ump.edu.my/id/eprint/23780/1/BEEI_Dec2018.pdf
first_indexed	2023-09-18T22:35:46Z
last_indexed	2023-09-18T22:35:46Z
_version_	1777416584957001728

Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility

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