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Detection of Alcohol in Speech Signal Using LF Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU87234" target="_blank" >RIV/00216305:26220/10:PU87234 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of Alcohol in Speech Signal Using LF Model

  • Original language description

    Speech changes resulting from alcohol intoxication were investigated in recorded clean speech using the Liljencrant-Fant model of glottal pulses. For use in our experiments, a new collection of intoxicated speech at two levels of intoxication was created. All vowels were tested individually. In person independent experiments, analysis of vowel excitation appears to be a useful technique to provide evidence of alcohol consumption of over 1 per mille of blood-alcohol concentration.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach<br>R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of IASTED International Multi-Conference on Applied Informatics, part Artificial Intelligence and Applications

  • ISBN

    978-0-88986-818-2

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    IASTED

  • Place of publication

    Calgary

  • Event location

    Innsbruck

  • Event date

    Feb 15, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article