Algorithms for Vowel Recognition in Fluent Speech Based on Formant Positions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU103461" target="_blank" >RIV/00216305:26220/13:PU103461 - 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

Algorithms for Vowel Recognition in Fluent Speech Based on Formant Positions

Popis výsledku v původním jazyce

This paper deals with Czech vowels and two algorithms for vowel detection in fluent speech. Basic algorithm is based on the frequencies of first two formants F1 and F2 determining the individual vowels. The accuracy of basic algorithm is susceptible to the quality of recorded speech signal because voice distortion and surrounding noise can cause a high rate of false vowel detection. Second algorithm is an improved version on the first one extended by retroactive checking of vowel duration. Both algorithms were applied on created speaker database containing 5 female and 13 male native speakers. Better results were obtained using the improved algorithm which reduced false detection of vowel segments over all speakers and all vowels by 36.7% at average.

Název v anglickém jazyce

Algorithms for Vowel Recognition in Fluent Speech Based on Formant Positions

Popis výsledku anglicky

This paper deals with Czech vowels and two algorithms for vowel detection in fluent speech. Basic algorithm is based on the frequencies of first two formants F1 and F2 determining the individual vowels. The accuracy of basic algorithm is susceptible to the quality of recorded speech signal because voice distortion and surrounding noise can cause a high rate of false vowel detection. Second algorithm is an improved version on the first one extended by retroactive checking of vowel duration. Both algorithms were applied on created speaker database containing 5 female and 13 male native speakers. Better results were obtained using the improved algorithm which reduced false detection of vowel segments over all speakers and all vowels by 36.7% at average.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/EE2.3.20.0007" target="_blank" >EE2.3.20.0007: Wireless communication teams</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

36th International Conference on Telecommunications and Signal Processing 2013

ISBN

978-1-4799-0403-7

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

521-525

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Rome

Datum konání akce

2. 7. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000333968000106