TY  - SER
AU  - Hasan,A.K.M.Rashidul
AU  - Makelainen,Kimmo
AU  - Ahmed,Kazi Mohiuddin
AU  - Erke,Tapio J.
ED  - Finnish International Development Agency (FINNIDA),  Finland, 
TI  - Feature extraction through spectral analysis for speech recognition
T2  - Research studies project report
PY  - 1995///
CY  - Bangkok
PB  - Asian Institute of Technology
KW  - Spectral analysis (Phonetics)
KW  - Speech perception
N1  - 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
N2  - 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
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B15375
ER  -