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Stress detection using non-semantic speech representation

  1. TitleStress detection using non-semantic speech representation
    Author Kejriwal Jay SAVINFO - Ústav informatiky SAV
    Co-authors Beňuš Štefan 1972- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    RID    ORCID

    Trnka Marián 1971- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Source document 2022 32nd international conference Radioelektronika : Proceedings. P. 133-137. - Danvers : IEEE, 2022
    Languageeng - English
    CountryUS - United States of America
    Document kindrozpis článkov z periodík (rzb)
    CitationsHAMA SAEED, Mariwan. Improved Speech Emotion Classification Using Deep Neural Network. In Circuits, Systems, and Signal Processing, 2023-01-01, pp. ISSN 0278081X. Dostupné na: https://doi.org/10.1007/s00034-023-02446-8.
    NATARAJAN, Indhumathi - SHANMUGAM, Maheswaran - DHANALAKSHMI, Samiappan - EASWARAMOORTHY, Santhosh - KUPPUSAMY, Sethuraja - BALU, Saravanan. Longitudinal Investigation of Work Stressors Using Human Voice Features. In Acta Informatica Pragensia, 2023-01-01, 12, 1, pp. 104-122. Dostupné na: https://doi.org/10.18267/j.aip.208.
    CHYAN, Phie - ACHMAD, Andani - NURTANIO, Ingrid - ARENI, Intan Sari. STRESS DETECTION OF CHILDREN THROUGH SPEECH SIGNALS IN MULTI-SPEAKER ENVIRONMENT USING DEEP LEARNING. In International Journal of Innovative Computing, Information and Control, 2023-12-01, 19, 6, pp. 1983-1994. ISSN 13494198. Dostupné na: https://doi.org/10.24507/ijicic.19.06.1983.
    CategoryADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
    Category of document (from 2022)V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka
    Type of documentpríspevok z podujatia
    Year2022
    Registered inWOS
    Registered inSCOPUS
    DOI 10.1109/RADIOELEKTRONIKA54537.2022.9764916
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    2022
Number of the records: 1  

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