Effects of Using Applications to Thai Phonetic Recognition According to the Reading Test of Grade 1 Students
DOI:
https://doi.org/10.14456/jcct.2024.14Keywords:
Application Development, Thai Phonetic Recognition, Thai PronunciationAbstract
This research aims to study the effects of using applications to Thai phonetic recognition according to the reading test of grade 1 students. The data used in the study were 800 voice readings with 40 students by using the sound feature extraction including Spectrogram and Mel Frequency Cepstral Coefficient techniques in conjunction with the use of Neural Networks to train data and test models for application development. The study found that pronunciation training and similarity comparison from sound signals after using an application that can analyze the pronunciation of 800 sounds, and Thai pronunciation of 160 words in the reading test has an accuracy of more than 50%, which is 93.75%, and less than 50%, which is 6.25%, after using the application to detect the pronunciation, the accuracy is at a very good level.
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