This paper proposes a new linear predictive coding (LPC) based on the wavelet functions. It has been shown in the literature that the wavelet functions form a complete set of orthonormal basis to decompose the time signals. One of the main advantages of using the wavelet functions is their optimal time-frequency distribution which provides good resolution in analyzing the excitations. In the excitation model, the excitation signal comprises of a set of compound pulses. Each compound pulse contains L equally-spaced pulses, in which the location of the compound pulse and the amplitudes of the pulse elements are determined by analysis-by-synthesis technique to minimize the error between the original speech and synthetic speech. A real speech is used to evaluate the performance of the new model. The parameters of the model are chosen to limit the coding rate to 8 kbps. The new scheme is proved to provide a class of excitations having better performance than multipulse LPC model presented in [1].
Cite as: Leung, S.H., Wong, O.Y., Lai, K.L. (1991) Decomposition of the LPC excitation using wavelet functions. Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 1327-1330, doi: 10.21437/Eurospeech.1991-303
@inproceedings{leung91c_eurospeech,
author={S. H. Leung and O. Y. Wong and K. L. Lai},
title={{Decomposition of the LPC excitation using wavelet functions}},
year=1991,
booktitle={Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991)},
pages={1327--1330},
doi={10.21437/Eurospeech.1991-303}
}