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Identifying tense arousal in speech using phase based features

  1. TitleIdentifying tense arousal in speech using phase based features
    Author Guoth Igor SAVINFO - Ústav informatiky SAV    SCOPUS
    Co-authors Rusko Milan 1960- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Ritomský Marian 1958- SAVINFO - Ústav informatiky SAV    SCOPUS    RID

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

    Darjaa Sakhia 1955- SAVINFO - Ústav informatiky SAV    SCOPUS    RID

    Source document Proceedings of Meetings on Acoustics. Vol. 30, no. 1 (2017), art. no. 060005
    Languageeng - English
    CountryUS - United States of America
    Document kindrozpis článkov z periodík (rbx)
    CitationsLE, T.D.T. - VAN, L.T. - HONG, Q.N. Deep convolutional neural networks for emotion recognition of Vietnamese. In International Journal of Machine Learning and Computing. ISSN 2010-3700, 2020, vol. 10, no. 5, pp. 692-699.
    PRABHAKAR, Gudmalwar Ashishkumar - BASEL, Biplove - DUTTA, Anirban - RAO, Ch. V. Rama. Multichannel CNN-BLSTM Architecture for Speech Emotion Recognition System by Fusion of Magnitude and Phase Spectral Features Using DCCA for Consumer Applications. In IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2023, vol. 69, no. 2, pp. 226-235. ISSN 0098-3063. Dostupné na: https://doi.org/10.1109/TCE.2023.3236972.
    CategoryADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2018
    Registered inSCOPUS
    DOI 10.1121/2.0000659
    article

    article

    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    N
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    201720160.156
Number of the records: 1  

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