5^{th} International Conference on Spoken Language ProcessingSydney, Australia |
The delta coefficients are a conventional method to include temporal information in the speech recognition systems. In particular, they are widely used in the gaussian HMM-based systems. Some attempts were made to introduce the delta coefficients in the K-Nearest Neighbours (K-NN) HMM-based system that we recently developed. An introduction of the delta coefficients directly in the representation space is shown not to be suitable with the K-NN probability density function (pdf) estimator. So, we investigate whether the delta coefficient could be used to improve the K-NN HMM-based system in other ways. In this purpose, an analysis of the delta coefficients in the gaussian HMM-based systems is proposed. It leads to the conclusion that the delta coefficients influence also the recognition process.
Bibliographic reference. Lefevre, Fabrice / Montacie, Claude / Caraty, Marie-José (1998): "On the influence of the delta coefficients in a HMM-based speech recognition system", In ICSLP-1998, paper 0573.