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Recognition of Alkohol Influence on Speech

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Text, Speech and Dialogue (TSD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1692))

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Abstract

This paper deals with two relevant questions: 1. Are the standard speech parameterizations able to detect alcohol influence to speech? 2. Which are the most appropriate phonemes, phonemes crossings and types of parameterization to detect alcohol influence? A small speech database for alcohol influence recognition was built for our purpose. All records in the database were parametrized using standard speech parameterizations and they were statistically evaluated.We found the display of alcohol is evident for all used parameterizations, but the localization in time or parametric domain was less evident.

This work was supported by the Ministry of Education of Czech Republic Project No.: VS97060

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References

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Author information

Authors and Affiliations

  1. Institute of Radio electronics, Brno University of Technology, Purkyňova 118, 612 00, Brno, Czech Republic

    Richard Menšík

Authors
  1. Richard Menšík
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Editors and Affiliations

  1. Department of Computer Science and Engineerig, Faculty of Applied Sciences, University of West Bohemia in Plzeň, Universitní 22, 306 14, Pizeň, Czech Republic

    Václav Matousek , Pavel Mautner  & Jana Ocelíková ,  & 

  2. Department of Programming Systems and Communication, Faculty of Informatics, Masaryk University Brno, Botanická 68a, 602 00, Brno, Czech Republic

    Petr Sojka

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© 1999 Springer-Verlag Berlin Heidelberg

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Menšík, R. (1999). Recognition of Alkohol Influence on Speech. In: Matousek, V., Mautner, P., Ocelíková, J., Sojka, P. (eds) Text, Speech and Dialogue. TSD 1999. Lecture Notes in Computer Science(), vol 1692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48239-3_74

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  • DOI: https://doi.org/10.1007/3-540-48239-3_74

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66494-9

  • Online ISBN: 978-3-540-48239-0

  • eBook Packages: Springer Book Archive

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