Oldrich Horák, "The Voice Segment Type Determination using the Autocorrelation Compared to Cepstral Method," WSEAS Transactions on Signal Processing, vol. 8, pp. -, 2012, DOI:
Oldrich Horák. The Voice Segment Type Determination using the Autocorrelation Compared to Cepstral Method.
WSEAS Transactions on Signal Processing. 2012;8:-.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 8, 2012
The Voice Segment Type Determination using the Autocorrelation Compared to Cepstral Method
Author:
Abstract: The extraction of the characteristic features of the speech is the important task in the speaker recognition process. One of the basic features is fundamental frequency of speaker’s voice, which can be extracted from the voiced segment of the speech signal. This document describes one of the methods providing possibility to distinguish the voiced and surd segments of the voice signal using the autocorrelation, and compare the results to cepstral method.
Keywords:
autocorrelation, cepstrum, features extraction, fundamental frequency, signal processing, speaker recognition, voice signal
Pages: - WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 8, 2012DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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