TY  - JOUR
T1  - Performance Comparison of Two Joint Three States  Segmentation and AR Modelling Algorithms
AU - , Lotfi Messikh AU - , Mouldi Bedda 
JO  - Research Journal of Applied Sciences
VL  - 2
IS  - 6
SP  - 704
EP  - 707
PY  - 2007
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2007.704.707
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2007.704.707
KW  - Linear prediction
KW  -non-stationary
KW  -signal segmentation
KW  -rate-distortion
KW  -maximum likelihood estimation
AB  - 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.
ER  -