Homomorphic vector quantisation |
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Authors: | Vích R. |
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Affiliation: | Czechoslovak Academy of Sciences, Institute of Radio Engineering & Electronics, Prague, Czechoslovakia; |
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Abstract: | A new approach is proposed for vector quantisation in linear predictive speech coding. The problem is formulated as speech model recognition by minimising the Euclidean distance measure of real cepstra of models with unit power transmission. The procedure is robust with respect to quantisation of both the cepstral coefficients and operational results. |
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