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IJSEA Archive (Volume 7, Issue 8)

International Journal of Science and Engineering Applications (IJSEA)  (Volume 7, Issue 8 August 2018)

Speech to Text Conversion System for Myanmar Alphabet

Zaw Win Aung





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Keywords: Speech to text; Myanmar alphabet; isolated word recognition; Myanmar character; Myanmar language

Abstract References BibText


        This paper is aimed to implement the speech to text conversion system for Myanmar alphabet. The Myanmar alphabet consists of 33 characters from ‘ka’ to ‘ah’. The proposed system is software architecture which allows the user to speak against the computer in Myanmar language and the corresponding character is printed on the screen in the Microsoft Office Word Document Format. The system is emphasized on Speaker Independent Isolated Word Recognition System. The proposed system directly acquires and converts speech to text. This system contains two main modules: feature extraction and feature matching. Mel Frequency Cepstrum Coefficients (MFCC) is applied for feature extraction which extracts a small amount of data from the voice signal that can later be used to represent each character. Feature matching involves the actual procedure to identify the unknown character by comparing extracted features from the voice inputs of a set of known characters. In this system, Vector Quantization (VQ) approach using Linde, Buzo and Gray (LBG) clustering algorithm, which reduces the amount of data and complexity, is applied for feature matching. To implement this system MATLAB programming language is used.


[1] Bala Murugan M.T, Balaji .M, “SOPC-Based Speech-to-Text Conversion”, Nios II Embedded Processor Design Contest—Outstanding Designs 2006, Second Prize, National Institute of Technology, Trichy, 2006.
[2] Kumar Kuldeep and Aggarwal R.K., “Hindi Speech Recognition System using HTK”, J. of International Journal of Computing and Business Research, vol. 2, pp. 3-7, 2011.
[3] Bapat Abhijit V., Nagalkar Lalit K., “Phonetic Speech Analysis for Speech to Text Conversion”, in IEEE Region 10 Colloquium and the Third International Conference on Industrial and Information Systems, Kharagpur, India, 2008, pp. 1-4.


@article{Aung07081009,
title = "Speech to Text Conversion System for Myanmar Alphabet ",
journal = "International Journal of Science and Engineering Applications (IJSEA)",
volume = "7",
number = "8",
pages = "175 - 176 ",
year = "2018",
author = " Zaw Win Aung ",
}