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:en
Published: IAES 2018
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Online Access:http://umpir.ump.edu.my/id/eprint/23780/1/BEEI_Dec2018.pdf
http://umpir.ump.edu.my/id/eprint/23780/
http://journal.portalgaruda.org/index.php/EEI/article/view/1183
http://dx.doi.org/10.11591/eei.v7i4.1183
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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
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
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.
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spelling my.ump.umpir.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. (Published) http://journal.portalgaruda.org/index.php/EEI/article/view/1183 http://dx.doi.org/10.11591/eei.v7i4.1183
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
title 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_short 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
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/23780/1/BEEI_Dec2018.pdf
http://umpir.ump.edu.my/id/eprint/23780/
http://journal.portalgaruda.org/index.php/EEI/article/view/1183
http://dx.doi.org/10.11591/eei.v7i4.1183
url_provider http://umpir.ump.edu.my/