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Analysis of accent-sensitive words in multi-resolution mel-frequency cepstral coefficients for classification of accents in Malaysian English

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cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department a20ad810-f740-4161-8e8b-b541bc3a386c
cris.virtualsource.department 8a7be95b-95d1-4e12-9abb-0839dd8a54c3
dc.contributor.author M.A. Yusnita
dc.contributor.author M.P. Paulraj
dc.contributor.author Sazali Yaacob
dc.contributor.author R. Yusuf
dc.contributor.author Shahriman Abu Bakar
dc.date.accessioned 2024-07-31T04:42:20Z
dc.date.available 2024-07-31T04:42:20Z
dc.date.issued 2013-06
dc.description.abstract This paper investigates the most accent-sensitive words for Malaysian English (MalE) speakers in multi-resolution 13 Mel-frequency cepstral coefficients. A text-independent accent system was implemented using different numbers of Mel-filters to determine the optimal settings for this database. Then, text-dependent accent systems were developed to rank the most accent-sensitive words for MalE speakers according to the classification rates. Prior work has also been conducted to test the significance of the wordlist for both gender and accent factors, and to investigate any interaction between these two factors. Experimental results show that male speakers have a higher intensity of accent effects compared with female speakers by 3.91% on text-independent and 3.47% on text-dependent tasks. Another finding has proven that by selecting appropriate words that carry severe accent markers could improve the task of speaker accent classification. An improvement of at most 8.45% and 8.91% was achieved on the male and female datasets, respectively, following vocabulary selection.
dc.identifier.doi 10.15282/ijame.7.2012.21.0086
dc.identifier.uri https://hdl.handle.net/20.500.14170/3403
dc.language.iso en
dc.relation.ispartof International Journal of Automotive and Mechanical Engineering
dc.relation.issn 2229-8649
dc.relation.issn 2180-1606
dc.subject Accent classification
dc.subject Analysis of variance
dc.subject Factorial design
dc.subject K-nearest neighbors
dc.subject Malaysian english
dc.subject Mel-frequency cepstral coefficients
dc.title Analysis of accent-sensitive words in multi-resolution mel-frequency cepstral coefficients for classification of accents in Malaysian English
dc.type journal-article
dspace.entity.type Publication
oaire.citation.endPage 1073
oaire.citation.startPage 1053
oaire.citation.volume 7
oairecerif.author.affiliation Universiti Teknologi MARA
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Teknologi MARA
oairecerif.author.affiliation Universiti Malaysia Perlis
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