Lag windowing has long been used for the autocorrelation method of linearpredictive (LP) analysis to prevent possible instability of the synthesis filter with the obtained coefficients. We have investigated the lag-w...
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ISBN:
(纸本)9781479975921
Lag windowing has long been used for the autocorrelation method of linearpredictive (LP) analysis to prevent possible instability of the synthesis filter with the obtained coefficients. We have investigated the lag-window shape in terms of the trade-offs between stability and the coding efficiency. On the basis of these investigations, we have devised an adaptive selection scheme in which the window shape selected depends on the periodicity of the signal. This scheme has proven to be effective for LP analysis to enhance the coding efficiency in both time and frequency domains in general. This scheme has thus been included in the speech and audio coding schemes of the newly established 3GPP EVS codec standard.
This book is the first in-depth unified presentation of the important area of linear prediction in speech processing. It covers linear prediction from detailed theoretical considerations through practical applications...
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This book is the first in-depth unified presentation of the important area of linear prediction in speech processing. It covers linear prediction from detailed theoretical considerations through practical applications including Fortran program implementations of important algorithms. linear Prediction Formulations, Speech Synthesis Structures, Spectral Analysis, Formant and Fundamental Frequency Estimation, Computational Considerations, and Vocoders are presented with emphasis on interrelating the two most widely used forms (the autocorrelation method and the covariance method). Because of the depth of presentation from theoretical derivations through computer programs, the material should be applicable to a wide range of backgrounds. The book is written mainly for those interested in acoustical speech processing, although certain portions will be of interest to other backgrounds in speech research and digital signal processing.
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