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Contemporary Methods for Speech Parameterization provides a standard view of short-time cepstrum-based speech parameterization and provides a regular flooring for further in-depth analysis on the subject. Notably, it offers an entire description, comparative analysis, and empirical effectivity evaluation of eleven trendy speech parameterization methods, which compute short-time cepstrum-based speech choices.
Amongst these are 5 discrete wavelet packet rework (DWPT)-based, six discrete Fourier rework (DFT)-based speech choices and a couple of of their variants which have been used on the speech recognition, speaker recognition, and totally different related speech processing duties. The first similarities and variations in their computation are talked about and empirical outcomes from effectivity evaluation in widespread experimental circumstances are launched. The recognition accuracy obtained on the monophone recognition, regular speech recognition and speaker recognition duties is contrasted in the direction of the one obtained for the properly-acknowledged and extensively used Mel Frequency Cepstral Coefficients (MFCC).
It is confirmed that lots of these methods end result in speech choices that do provide aggressive effectivity on a positive speech processing setup when in comparability with the venerable MFCC. The ultimate does not objective the promotion of positive speech choices nevertheless in its place objectives to strengthen the widespread understanding regarding the advantages and disadvantages of the numerous speech parameterization strategies obtainable at this time and to supply the thought for variety of an relevant speech parameterization in each particular case.
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