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Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition

In Malaysia, there is increasing number of speech recognition researchers focusing on developing independent speaker speech recognition systems that uses Malay Language which are noise robust and accurate.The performance of speech recognition application under adverse noisy condition often becomes t...

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Main Authors: Mohd Yusof, Shahrul Azmi, Mahat, Nor Idayu, Din, Roshidi, Yaakub, Abdul Razak, Yaacob, Sazali
Format: Article
Published: Springer 2012
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/10141/
http://dx.doi.org/10.1007/978-3-642-35594-3_38
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spelling my.uum.repo.101412014-04-15T08:04:13Z http://repo.uum.edu.my/10141/ Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition Mohd Yusof, Shahrul Azmi Mahat, Nor Idayu Din, Roshidi Yaakub, Abdul Razak Yaacob, Sazali QA76 Computer software In Malaysia, there is increasing number of speech recognition researchers focusing on developing independent speaker speech recognition systems that uses Malay Language which are noise robust and accurate.The performance of speech recognition application under adverse noisy condition often becomes the topic of interest among speech recognition researchers regardless of the languages in use. This paper present a study of noise robust capability of an improved vowel feature extraction method called Spectrum Delta (SpD).The features are extracted from both original data and noise-added data and classified using three classifiers; (i) Multinomial Logistic Regression (MLR), (ii) K-Nearest Neighbors (k-NN) and (iii) Linear Discriminant Analysis (LDA).Results show that the proposed SpD is robust towards noise and LDA performs the best in overall vowel classification compared to MLR and k-NN in terms of robustness capability especially with signal-to-noise (SNR) above 20dB. Springer 2012 Article PeerReviewed Mohd Yusof, Shahrul Azmi and Mahat, Nor Idayu and Din, Roshidi and Yaakub, Abdul Razak and Yaacob, Sazali (2012) Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition. Computer Applications for Communication, Networking, and Digital Contents, 350. pp. 270-277. ISSN 1865-0929 http://dx.doi.org/10.1007/978-3-642-35594-3_38 doi:10.1007/978-3-642-35594-3_38
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA76 Computer software
spellingShingle QA76 Computer software
Mohd Yusof, Shahrul Azmi
Mahat, Nor Idayu
Din, Roshidi
Yaakub, Abdul Razak
Yaacob, Sazali
Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition
description In Malaysia, there is increasing number of speech recognition researchers focusing on developing independent speaker speech recognition systems that uses Malay Language which are noise robust and accurate.The performance of speech recognition application under adverse noisy condition often becomes the topic of interest among speech recognition researchers regardless of the languages in use. This paper present a study of noise robust capability of an improved vowel feature extraction method called Spectrum Delta (SpD).The features are extracted from both original data and noise-added data and classified using three classifiers; (i) Multinomial Logistic Regression (MLR), (ii) K-Nearest Neighbors (k-NN) and (iii) Linear Discriminant Analysis (LDA).Results show that the proposed SpD is robust towards noise and LDA performs the best in overall vowel classification compared to MLR and k-NN in terms of robustness capability especially with signal-to-noise (SNR) above 20dB.
format Article
author Mohd Yusof, Shahrul Azmi
Mahat, Nor Idayu
Din, Roshidi
Yaakub, Abdul Razak
Yaacob, Sazali
author_facet Mohd Yusof, Shahrul Azmi
Mahat, Nor Idayu
Din, Roshidi
Yaakub, Abdul Razak
Yaacob, Sazali
author_sort Mohd Yusof, Shahrul Azmi
title Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition
title_short Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition
title_full Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition
title_fullStr Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition
title_full_unstemmed Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition
title_sort noise robustness of spectrum delta (spd) features in malay vowel recognition
publisher Springer
publishDate 2012
url http://repo.uum.edu.my/10141/
http://dx.doi.org/10.1007/978-3-642-35594-3_38
_version_ 1644280299909021696
score 13.211869

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