The Voice Segment Type Determination using the Autocorrelation Compared to Cepstral Method

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F12%3A39894579" target="_blank" >RIV/00216275:25410/12:39894579 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

The Voice Segment Type Determination using the Autocorrelation Compared to Cepstral Method

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

WSEAS Transactions on Signal Processing

ISSN

1790-5052

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

1

Country of publishing house

GR - GREECE

Number of pages

10

Pages from-to

11-20

UT code for WoS article

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EID of the result in the Scopus database

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