Proposed of Using Speech Recognition Technology to Detect Read Aloud in Thai Tone Indications for Primary Education Students

Authors

  • Wudhijaya Philuek

Keywords:

Sound Wave, Thai Tone Indications, Speech Recognition, Primary Education Students

Abstract

This academic article has objectives were 1. to study the techniques in data analyzing of speech recognition systems techniques to detect Thai Tone Indications for primary education students, and 2. to study the result of speech recognition systems techniques to detect in Thai Tone Indications for primary education students. Sample group in this research were 30 primary education students in Grades 4 – 6 of Wat Na Klang School in Nakhon Sawan Province, Thailand. Research tools was speech recognition systems techniques to detect reading aloud skills in Thai tonal conjugation. Results showed that, 1.the three techniques involved in sound analysis consisted of Spectrogram Sound Wave Change, Wavelet Transform Audio Format Conversion, and two sets of data similarity comparison techniques named Dynamic Time Warping (DTW). The researchers used three techniques in analysis and comparison for making the more similar to the sound signal than using a single technique in analytics. 2. the result of using speech recognition system to detect reading aloud in Thai Tone Indications showed results of pronunciation practice and compared the similarity of audio signals that after using the technique in 5 analytical times, the largest average result was 93.52 Percent, the least average result was 87.75 Percent, and the total average result was 90.66 Percent.

Author Biography

Wudhijaya Philuek

Assistant Professor, Ph.D., Department of Innovation and Educational Technology, Faculty of Education, Nakhon Sawan Rajabhat University

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Published

2024-01-01 — Updated on 2024-02-19

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