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008 030696s1995 th uu m rtt 00| a1eng d
035 _a.b11489625
099 9 _aAIT RSPR no. TC-95-14
100 1 _aHasan, A. K. M. Rashidul
245 1 0 _aFeature extraction through spectral analysis for speech recognition
260 _aBangkok :
_bAsian Institute of Technology,
_c1995
300 _a56 leaves
490 1 _aResearch studies project report ;
_vno. TC-95-14
500 _aA research study submitted in partial fulfillment of .the requirements for the deg1·ee of Master of Engineering, School of Engineering and Technology
502 _aResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 1995
520 _aThis 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.
650 1 0 _aSpectral analysis (Phonetics)
650 1 0 _aSpeech perception
700 1 _aMakelainen, Kimmo,
_eChairperson
700 1 _aAhmed, Kazi Mohiuddin,
_eExamination Committee
700 1 _aErke, Tapio J.,
_eExamination Committee
710 2 _aFinnish International Development Agency (FINNIDA), Finland,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. TC-95-14
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B15375
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