Research Journal of Applied Sciences
ISSN: Online 1993-6079ISSN: Print 1815-932x
Abstract
Two procedures designed for the joint segmentation and AR modelling of quasi-stationary signal-the Rate/Distortion Algorithm (RDA) and the Maximum Likelihood Algorithm (MLA) - are compared regarding their performance. Both algorithms share a same parameters estimation process and differ only in the form of the criterion to be optimised. The comparison is achieved with 2 simple indexes on the phonemes Otago data corpus assuming a 3 state model of the same order for each phoneme. As a general result, it is shown that the MLA is less sensitive to AR order choice and perform the least model residual correlations.
How to cite this article:
Lotfi Messikh and Mouldi Bedda . Performance Comparison of Two Joint Three States Segmentation and AR Modelling Algorithms.
DOI: https://doi.org/10.36478/rjasci.2007.704.707
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2007.704.707