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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Format: | Tagungsbericht |
Sprache: | eng |
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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. |
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DOI: | 10.1109/CRMICO.2008.4676391 |