Novel statistical clustering method for accurate characterization of word pronunciation

Abdul Rahim Bahari, Aminatuzzaharah Musa, Mohd. Zaki Nuawi, Zairi Ismael Rizman, Suziana Mat Saad

Research output: Contribution to journalArticle

Abstract

This paper discusses the development method to determine the accuracy of pronunciation of the word using global statistical signal analysis parameters. An engineering word that has been chosen is 'leaching'. The pronunciation of the word 'leaching' in the French language has been recorded from 1 native speaker and 4 students. The recording processes use a microphone-laptop system configuration and the signal analyzing processes use MATLAB software. Time and frequency domain plots show a variety of waveforms according to the recorded pronunciation. For data processing, statistical signal analysis parameters involved to extract the signal's features are kurtosis, root mean square and skewness. The mapping process has been performed to cluster each data. The position of the samples from the students is referred to the samples from the native speaker. The result of the accuracy of the pronunciation of words for each student can be evaluated through the comparison of the position of all the samples. In conclusion, the development of mapping and clustering methods are able to characterize the accuracy of the pronunciation of words.

Original languageEnglish
Pages (from-to)1172-1177
Number of pages6
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume7
Issue number4
DOIs
Publication statusPublished - 2017

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Cluster Analysis
students
Signal analysis
Students
Population Groups
Leaching
leaching
Microphones
sampling
MATLAB
engineering
Language
Software
methodology
extracts

Keywords

  • Clustering
  • Kurtosis
  • Skewness
  • Speech recognition
  • Voice signal

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Computer Science(all)
  • Engineering(all)

Cite this

Novel statistical clustering method for accurate characterization of word pronunciation. / Bahari, Abdul Rahim; Musa, Aminatuzzaharah; Nuawi, Mohd. Zaki; Rizman, Zairi Ismael; Mat Saad, Suziana.

In: International Journal on Advanced Science, Engineering and Information Technology, Vol. 7, No. 4, 2017, p. 1172-1177.

Research output: Contribution to journalArticle

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