Synthesis of the speech signals by using autocorrelation function

Autor:	Alejandro Bidondo, Shin-ichi Sato
Rok vydání:	2013
Předmět:	Acoustics and Ultrasonics Arts and Humanities (miscellaneous) Integration interval Acoustics Vowel Fast Fourier transform Autocorrelation Spectrum (functional analysis) Signal Algorithm Power density Mathematics Delay time
Zdroj:	Proceedings of Meetings on Acoustics.
ISSN:	1939-800X
DOI:	10.1121/1.4800268
Popis:	The running autocorrelation function (r-ACF) is obtained by the FFT method based on the Wiener–Khinchine theorem after obtaining the power density spectrum for a signal. This study attempted to reconstruct the original speech signal by using a part of its r-ACF. First, the stationary part of the vowel signals were investigated to determine until which delay time of the ACF (maximum time lag) is necessary to recognize the reconstructed signals as the original ones. Then, the continuous speech signals were investigated to determine the appropriate integration interval as well as the maximum time lag.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90cfafa649d1a38c12b4a4f470b53210 https://doi.org/10.1121/1.4800268 Zobrazit plný text záznamu