Approximation bending around power spectrum of a speech signal

Algorithms of voice signal energy spectrum approximation are studied using Lagrange interpolation polynomial and cubic splines. Errors of power spectral density mathematical model realization depending on a number of approximation nodes and calculation expenses are investigated.

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Bibliographische Detailangaben
Hauptverfasser: Bykov, A.A., Kropotov, Y.A.
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung:Algorithms of voice signal energy spectrum approximation are studied using Lagrange interpolation polynomial and cubic splines. Errors of power spectral density mathematical model realization depending on a number of approximation nodes and calculation expenses are investigated.
DOI:10.1109/CRMICO.2008.4676391