Abstract:
This dissertation presents an analysis and mathematical modelling of Bangia sound units,
which would enable to generate synthetic Banga speech. In this work, the spectral features
and parameters of a speaker are investigated to determine their contribution to the occurrence
of BangIa speech. The linear predictive coding (LPC) technique has been used to extract the
spectral features and parameters, viz, pitch, gain, voiced I unvoiced decision etc., of Bangia
speech. Use has been made of Hamming window in. this feature extraction. To develop the
mathematical models of Bangia sound units, they (i. e., the sound units)are recorded for a
particular person using a sound card. Then the spectral features and parameters of the sound
units are extracted, and later on they are used to drive an all-pole digital filter The output of
this filter is the desired synthetic speech .. Several software routines have been written for the
analysis and synthesis of the Bangia sound units. These routines have been written in
'PASCAL' programming language. Finally, the modelled sound units are compared with the
corresponding recorded speech. The play back facility of the sound card has been used for
this purpose. Some of the pos9ible applications of the synthetic Bangia sound units are also
explored ..
