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Optimal Curve Fitting of Speech Signal for Disabled Children
In this work, the amplitude profile of sampled speech data were fitted by employing sum of sine functions with a confidence level more than 90%. Furthermore, amplitude correlation technique is applied between original speech signal samples of normal and pathological subjects and correlation technique is also applied between the curve fit constant values for normal and pathological subjects. Results obtained in both the techniques were compared to determine the varying degrees of speech disability severity.
Keywords
Correlation, Curve Fitting, Discrete Time Signal, Linear Filter, Speech Disability.
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