Temporal Decomposition (TD) is an efficient technique for modeling speech spectral evolution through orthogonalization of the matrix of spectral parameters which reduces the amount of spectral information in TD-based speech coding. We have shown in earlier work that ``event'' functions can be approximated by fixed-width Gaussian functions with a minor degradation in the reconstructed speech, leading to further bit-rate reduction in such systems. In this paper, through perceptually-based spectral distortion measurement, we show the impact of events shape on the speech quality, and propose a new composite function and discuss its effect on the coder performance using different combinations of spectral parameters in event detection and speech synthesis.
Cite as: Ghaemmaghami, S., Deriche, M., Boashash, B. (1997) On modeling event functions in temporal decomposition based speech coding. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1299-1302, doi: 10.21437/Eurospeech.1997-197
@inproceedings{ghaemmaghami97_eurospeech,
author={Shahrokh Ghaemmaghami and Mohamed Deriche and Boualem Boashash},
title={{On modeling event functions in temporal decomposition based speech coding}},
year=1997,
booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
pages={1299--1302},
doi={10.21437/Eurospeech.1997-197}
}