Hasan, A. K. M. Rashidul creator Makelainen, Kimmo Chairperson Ahmed, Kazi Mohiuddin Examination Committee Erke, Tapio J. Examination Committee Finnish International Development Agency (FINNIDA), Finland Scholarship Donor text series technical report th Bangkok Asian Institute of Technology 1995 continuing eng 56 leaves This study presents a method for extracting speech features through spectral analysis for speech recognition purposes. After a brief overview of all the major spectral analysis techniques available, LPC-Derived Bilinearly Transformed Cepstral Coefficients have been proposed as the working coefficients. A program has been developed in MATLAB environment for implementing the proposed algorithm and using real Thai speech (vowel parts of Thai syllables 'THI' and 'KHA:'), two codevectors are calculated. Through some calculations (e.g., mean or centroid, distance etc.), threshold values have been set for evaluating the performance of the generated codevectors. A research study submitted in partial fulfillment of .the requirements for the deg1·ee of Master of Engineering, School of Engineering and Technology Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1995 Spectral analysis (Phonetics) Speech perception Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B15375 http://203.159.5.9/ait-thesis/detail.php?q=B15375 030696 20260818113554.0