@article{MAKHILLRJAS2007268772,
    title = {Performance Comparison of Two Joint Three States  Segmentation and AR Modelling Algorithms},
    journal = {Research Journal of Applied Sciences},
    volume = {2},
    number = {6},
    pages = {704-707},
    year = {2007},
    issn = {1815-932x},
    doi = {rjasci.2007.704.707},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2007.704.707},
    author = {Lotfi Messikh and},
    keywords = {Linear prediction,non-stationary,signal segmentation,rate-distortion,maximum likelihood estimation},
    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.}
    }