L.P.C. speech recognition with random reference correlation |
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Authors: | Cohen A Beker S |
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Affiliation: | Ben-Gurion University of the Negev, Electrical Engineering Department, Beer-Sheva, Israel; |
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Abstract: | A correlation estimation algorithm, based on random reference correlation (r.r.c.), is applied to the problem of speech recognition. The inherent ill-conditioning of the estimated autocorrelation matrix is dealt with by pre-emphasis and ridge regression. Distance measures are defined and used to characterise the performance of the recognition. Results with the ten-digit dictionary show that the new method is comparable with the conventional one in terms of recognition performance but much more efficient in terms of implementation. |
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