Mario Zanotti

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Ten models are proposed for predicting a student’s final grade placement in a computer-assisted instruction curriculum from the time the student spends taking lessons. Using data from approximately 2,000 elementary students, the models are tested both for ability to predict final grade placement and for ability to describe all points observed throughout the(More)
THIS article describes a new technique for compressing linear-prediction (LP) coefficients by reducing both the redundancy of the coefficients of individual frames and the sequential redundancy of the coefficients in time, using interpolation and quantization of pseudo-formant parameters. In sections I and 2 of the article, the analysis procedure and(More)
T H IS article describes a new technique for compressing linear-prediction (LP) coefficients by reducing both the redundancy of the coefficients of individual frames and the sequential redundancy of the coefficients in time, using interpolation and quantization of pseudo-formant parameters. In sections 1 and 2 of the article, the analysis procedure and(More)
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