Study of noise robustness of First Formant Bandwidth (F1BW) method

The performance of speech recognition application under adverse noisy condition often becomes the topic of researchers regardless of the language used. Applications that use vowel phonemes require high degree of Standard Malay vowel recognition capability.In Malaysia, researches in vowel recognitio...

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Main Authors: Mohd Yusof, Shahrul Azmi, Siraj, Fadzilah, Yaacob, S., M.P, Paulraj, Nazri, Ahmad
Format: Conference or Workshop Item
Language:English
Published: 2011
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Online Access:http://repo.uum.edu.my/13624/1/99%20%281%29.pdf
http://repo.uum.edu.my/13624/
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Institution: Universiti Utara Malaysia
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spelling my.uum.repo.136242015-04-07T06:55:11Z http://repo.uum.edu.my/13624/ Study of noise robustness of First Formant Bandwidth (F1BW) method Mohd Yusof, Shahrul Azmi Siraj, Fadzilah Yaacob, S. M.P, Paulraj Nazri, Ahmad QA76 Computer software The performance of speech recognition application under adverse noisy condition often becomes the topic of researchers regardless of the language used. Applications that use vowel phonemes require high degree of Standard Malay vowel recognition capability.In Malaysia, researches in vowel recognition is still lacking especially in the usage of Malay vowels, independent speaker systems, recognition robustness and algorithm speed and accuracy. This paper presents a noise robustness study on an improved vowel feature extraction method called First Formant Bandwidth (F1BW) on three classifiers of Multinomial Logistic Regression (MLR), K-Nearest Neighbors (k-NN) and Linear Discriminant Analysis (LDA).Results show that LDA performs best in overall vowel classification compared to MLR and KNN in terms of robustness capability. 2011 Conference or Workshop Item REM application/pdf en http://repo.uum.edu.my/13624/1/99%20%281%29.pdf Mohd Yusof, Shahrul Azmi and Siraj, Fadzilah and Yaacob, S. and M.P, Paulraj and Nazri, Ahmad (2011) Study of noise robustness of First Formant Bandwidth (F1BW) method. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011, Bandung, Indonesia. http://www.icoci.cms.net.my
geographic_facet Malaysia
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Mohd Yusof, Shahrul Azmi
Siraj, Fadzilah
Yaacob, S.
M.P, Paulraj
Nazri, Ahmad
Study of noise robustness of First Formant Bandwidth (F1BW) method
description The performance of speech recognition application under adverse noisy condition often becomes the topic of researchers regardless of the language used. Applications that use vowel phonemes require high degree of Standard Malay vowel recognition capability.In Malaysia, researches in vowel recognition is still lacking especially in the usage of Malay vowels, independent speaker systems, recognition robustness and algorithm speed and accuracy. This paper presents a noise robustness study on an improved vowel feature extraction method called First Formant Bandwidth (F1BW) on three classifiers of Multinomial Logistic Regression (MLR), K-Nearest Neighbors (k-NN) and Linear Discriminant Analysis (LDA).Results show that LDA performs best in overall vowel classification compared to MLR and KNN in terms of robustness capability.
format Conference or Workshop Item
author Mohd Yusof, Shahrul Azmi
Siraj, Fadzilah
Yaacob, S.
M.P, Paulraj
Nazri, Ahmad
author_facet Mohd Yusof, Shahrul Azmi
Siraj, Fadzilah
Yaacob, S.
M.P, Paulraj
Nazri, Ahmad
author_sort Mohd Yusof, Shahrul Azmi
title Study of noise robustness of First Formant Bandwidth (F1BW) method
title_short Study of noise robustness of First Formant Bandwidth (F1BW) method
title_full Study of noise robustness of First Formant Bandwidth (F1BW) method
title_fullStr Study of noise robustness of First Formant Bandwidth (F1BW) method
title_full_unstemmed Study of noise robustness of First Formant Bandwidth (F1BW) method
title_sort study of noise robustness of first formant bandwidth (f1bw) method
publishDate 2011
url http://repo.uum.edu.my/13624/1/99%20%281%29.pdf
http://repo.uum.edu.my/13624/
http://www.icoci.cms.net.my
_version_ 1602914069964128256
score 12.863404