Faculty of Computing, Universiti Teknologi Malaysia
Abstract
In Malaysia, many researchers focus on developing independent speaker speech recognition systems that uses Malay Language. 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 features and Logistic
Regression classification model in an effort to improve Malay word pronunciation for pre-school children aged between 3-6 years old. Results showed that the pronunciation application can assist children to test and improve their Malay word pronunciation