Abstract

The aim of this research was to assess the quality and the impact of using computerized speech diagnosis system to overcome the problem of speech articulation disorder among Malaysian context. The prototype of the system is already been develop in order to help Speech Therapist (ST) or Speech Language Pathologist (SLP) in diagnosis, preventing and treatment for an early stage. Few assessments will be conducted by ST over the patient and mostly the process is still using manual technique whereby the ST relies from their human hearing and their years of experience. This study will surveys the technique and method use by ST at Hospital Sultanah Aminah (HSA) (Speech therapist at Speech Therapy Center) to help patient that suffer from speech disorder especially in articulation disorder cases. Few experiment and result had also been present in this study where the computerized speech diagnosis system is being tested by using real patient voice sample that been collected from HSA and the students from Sekolah Kebangsaan Taman Universiti Satu.

Keywords:

Articulation disorder, computerized speech diagnosis system, Hidden Markov Model (HMM),

References

1. Axelsson, A. and E. Björhall, 2003. Real time speech driven face animation. M.S. Thesis, The Image Coding Group, Department of Electrical Engineering, Linköping University, Linköping.
   
2. Bharathi, C.R. and Dr. V. Shanthi, 2012. Disorder speech clustering for clinical data using fuzzy C-means clustering and comparison with SVM classification. Indian J. Comut. Sci. Eng., 3: 713-719.
   
3. Davis, S. and P. Mermelsten, 1980. Comparison of parametric representation for monosyllabic word recognition in continuous spoken sentence. IEEE T. Acoust. Speech, 28: 357-366.
   CrossRef    
4. Grigore, O., C. Grigore and V. Velican, 2011. Impaiered speech evaluation using mel-cepstrum analysis. Int. J. Circ. Syst. Signal. Process., 5: 70-77.
   
5. Jabatan Pendidikan Khas Kementerian Pendidikan Malaysia, 2002. Maklumat Pendidikan Khas Kuala Lumpur. Kementerian Pendidikan Malaysia.
   
6. Jadhav, S., S. Kava, S. Khandare, S. Marawar and S. Upadhya, 2013. Voice activated calculator. Int. J. Emerg. Technol. Adv. Eng., 3: 504-507.
   
7. Jang, J.S.R., 2011. Audio Signal Processing and Recognition. In: Roger Jang's Homepage. (Accessed on: April 5, 2011).
   Direct Link
8. Ooi, C.A. and J. Yunus, 2007. Computer-based system to assess efficacy of stuttering therapy techniques. Proceeding of the International Conference on Biomedical Engineering, 15: 374-377.
   
9. Sri Raflesia Sdn Bhd, 2008. Learning Support and Intervention Services. Web. Southampton. (Accessed on: April 8, 2013).
   Direct Link
10. Stemmer, G., C. Hacker, E. Noth and H. Niemann, 2001. Multiple time resolutions for derivatives of Mel-frequency cepstral coefficients. Proceeding of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU '01), pp: 37-40.
    CrossRef    
11. Tan, T.S., H. Liboh, A.K. Ariff, C.M. Ting and S.H. Salleh, 2007. Application of Malay speech technology in Malay speech therapy assistance tools. Proceeding of the International Conference on Intelligent and Advanced Systems, pp: 330-334.
    CrossRef    
12. Tim, P., 2005. Research Methods in Communication Disorders. Whurr Publishers, Ltd., London.
    PMid:25696494 PMCid:PMC2497351    
13. Ting, H.N., J. Yunus, S. Vandort and L.C. Wong, 2003. Computer-based Malay articulation training for Malay plosives at Isolated, Syllable and Word Level. Proceeding of the International Conference on Infornation, Communication and Signal Process, 3: 1423-1426.
    CrossRef    
14. Woo, P.J. and H.J. Teoh, 2010. An investigation of cognitive and behavioural problems in children with attention deficit hyperactive disorder and speech delay. Malays. J. Psychiatr., 16: 50-58.
    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.