Computer-based Malay articulation training for Malay plosives at isolated, syllable and word level

Ting, Hua Nong; Yunus, Jasmy; Vandort, Sandra; Wong, Lee Chen

doi:10.1109/icics.2003.1292700

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…In Malaysia, Universiti Kebangsaan Malaysia (UKM) has two computer-based speech therapy systems situated in the Clinic of Audiology and Speech Sciences. They are the Kay Elemtrics VisiPitch and IBM Speech Viewer [1]. These systems are used for voice therapy, but not used for training or articulation therapy.…”

Section: Introductionmentioning

confidence: 99%

Malay Word Pronunciation Application for Pre-school Children Using Vowel Recognition

Azmi¹

2015

2015 8th International Conference on U- And E-Service, Science and Technology (UNESST)

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In Malaysia, many researchers focus on developing independent speaker speech recognition systems that use Malay Language or Bahasa Malaysia. Accuracy, noise robustness and processing time are concerns when developing speech therapy systems especially for children. In this study, a Malay word pronunciation test application is developed using Spectrum Delta (SPD) features and Logistic Regression classification model in an effort to improve Malay word pronunciation for pre-school children aged between 3-6 years old. Based on the 6 vowel classification rate, vowel /i/ were found to achieved the highest classification rate of 98.33% and vowel /o/ achieved the worst with 92.29%. Overall classification rate obtained was 95.11%. Results showed that the pronunciation application can assist children to improve their Malay word pronunciation. Vowel /i/, /e/, /o/ and /u/ are often mispronounced due to pronunciation habits.

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Section: Introductionmentioning

confidence: 99%

Malay Word Pronunciation Application for Pre-school Children Using Vowel Recognition

Azmi¹

2015

2015 8th International Conference on U- And E-Service, Science and Technology (UNESST)

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“…Therefore, this research is proposed the use of computer-based speech articulation diagnostic system for early detection. The computer-based speech therapy system is still new in Malaysia and most of the systems available now are in foreign language such as English (Ting et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Computerized Method for Diagnosing and Analyzing Speech Articulation Disorder for Malay Language Speakers

Mazenan

Swee²,

Yong

2014

RJASET

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This study aims to develop a computerized technique that uses speech recognition as a helping tool in speech therapy diagnosis for early detection. Somehow speech disorder can be divided into few categories which not all type will be fully covered in this research. This study only purposes a solving method for diagnosis of a patient that suffers from articulation disorder. Therefore a set of Malay language vocabulary has already been designed to tackle this issue where it will cover selected Malay consonants as a target words. Ten Malay target words had been choose to test the recognition accuracy of this system and the sample are taken from real patient from Hospital Sultanah Aminah (HSA: Speech therapist at Speech Therapy Center) where the hospital assists in the clinical trial. The result accuracy of the systems will help the Speech Therapist (ST) to give an early diagnosis analysis for the patient before next step can be purposed. An early percentage of correct sample achieved almost 50% in this experiment.

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“…Person who is having difficulties in articulate spoken language correctly are facing articulation disorder problem. According to (Ting et al, 2003), the cause of articulation disorder can be organic or functional. Example of organic causes including anatomical, sensory impairment or motor while example of functional causes have several etiologies (Van Riper and Erikson, 1996).…”

Section: Introductionmentioning

confidence: 99%

Statistical Parametric Evaluation on New Corpus Design for Malay Speech Articulation Disorder Early Diagnosis

Mazenan¹,

Swee²,

Tan³

et al. 2015

American Journal of Applied Sciences

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Speech-to-Text or always been known as speech recognition plays an important role nowadays especially in medical area specifically in speech impairment. In this study, a Malay language speech-to-Text system was been designed by using Hidden Markov Model (HMM) as a statistical engine with emphasizing the way of Malay speech corpus design specifically for Malay articulation speech disorder. This study also describes and tests the correct number of state to analyze the changes in the performance of current Malay speech recognition in term of recognition accuracy. Statistical parametric representation method was utilized in this study and the Malay corpus database was constructed to be balanced with all the phonetic placed and manner of articulation sample appeared in Malay speech articulation therapy. The results were achieved by conducting few experiments by collecting sample from 80 patient speakers (child and adult) and contain for almost 30,720 sample training data.

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Computer-based Malay articulation training for Malay plosives at isolated, syllable and word level

Cited by 6 publications

References 2 publications

Malay Word Pronunciation Application for Pre-school Children Using Vowel Recognition

Malay Word Pronunciation Application for Pre-school Children Using Vowel Recognition

Computerized Method for Diagnosing and Analyzing Speech Articulation Disorder for Malay Language Speakers

Statistical Parametric Evaluation on New Corpus Design for Malay Speech Articulation Disorder Early Diagnosis

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