Earticle

초록

영어

In Malaysia, many researchers focus on developing speaker independent systems for training or articulation therapy or to assist language learners to learn about Malay Language or Bahasa Malaysia. Accuracy, noise robustness and processing time are concerns when developing speech therapy systems. In this study, a Malay word pronunciation test application was developed using the first 3 format and fundamental frequencies in an effort to improve pronunciation in Malay. This application was developed using Matlab and uses a vowel recognition algorithm classified using MLP classification technique. The application was developed and tested on UUM undergraduate students. For vowel classification, when fundamental frequency was added, 3-format feature vowel classification rate increased by 1.55% for male gender and 1.48% for female. When combined both genders, a more significant improvement of 1.71% was seen. The developed pronunciation application test results showed that the pronunciation application can assist in testing and improving their Malay word pronunciation. It was also observed that, vowel /i/, /e/, /o/ and /u/ are often mispronounced due to pronunciation habits.

목차

Abstract
 1. Introduction
 2. Malay Speech Therapy Systems
 3. Vowel Recognition Process
  3.1. Data Acquisition
  3.2. Feature Extraction
  3.3. Fundamental Frequency (Fo)
  3.4. Multi-layer Perceptron (MLP)
 4. Vowel Classification Results
  4.1. Result Without Fo
  4.2. Result With Fo
  4.3. Comparison Results With And Without Fo
 5. Pronunciation Test Interface
  5.1. Word Based Interface
  5.2. Virtual Avatar Interface
  5.3. Pronunciation Application Test Results
 6. Conclusions
 References

키워드

저자

• M.Y. Shahrul Azmi [ Technopreneurship Incubation Centre Universiti Utara Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605