Speaker Dependent Coefficients for Speaker Recognition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89497" target="_blank" >RIV/00216305:26230/10:PU89497 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Speaker Dependent Coefficients for Speaker Recognition

Popis výsledku v původním jazyce

<p align=left>This work aims at speaker recognition based upon a new set of features. Feature extraction is a crucial phase of the recognition process and a proper feature set dramatically influences the speaker recognition. Many well-known features arenot suitable for the speaker recognition as those merge the specifics of the individual voices. Therefore, we need features accentuating the individual differences of our voices to be able to recognise speakers reliably. This work introduces new, speakerdependent features called Speaker Dependent Frequency Cepstrum Coefficients (SDFCC), created for the speaker recognition purposes only. Experimental results show their performance in comparison to the well-known features. According to the test results,the SDFCC are, for the speaker recognition, very useful and promising.

Název v anglickém jazyce

Speaker Dependent Coefficients for Speaker Recognition

Popis výsledku anglicky

<p align=left>This work aims at speaker recognition based upon a new set of features. Feature extraction is a crucial phase of the recognition process and a proper feature set dramatically influences the speaker recognition. Many well-known features arenot suitable for the speaker recognition as those merge the specifics of the individual voices. Therefore, we need features accentuating the individual differences of our voices to be able to recognise speakers reliably. This work introduces new, speakerdependent features called Speaker Dependent Frequency Cepstrum Coefficients (SDFCC), created for the speaker recognition purposes only. Experimental results show their performance in comparison to the well-known features. According to the test results,the SDFCC are, for the speaker recognition, very useful and promising.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

International Journal of Security and Its Applications

ISSN

1738-9976

e-ISSN

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Svazek periodika

2010

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

KR - Korejská republika

Počet stran výsledku

17

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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