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BESST Dataset: A Multimodal Resource for Speech-based Stress Detection and Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU154970" target="_blank" >RIV/00216305:26230/24:PU154970 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.isca-archive.org/interspeech_2024/pesan24_interspeech.pdf" target="_blank" >https://www.isca-archive.org/interspeech_2024/pesan24_interspeech.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21437/Interspeech.2024-42" target="_blank" >10.21437/Interspeech.2024-42</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    BESST Dataset: A Multimodal Resource for Speech-based Stress Detection and Analysis

  • Original language description

    The Brno Extended Stress and Speech Test (BESST) dataset is a new resource for the speech research community, offering multimodal audiovisual, physiological and psychological data that enable investigations into the interplay between stress and speech. In this paper, we introduce the BESST dataset and provide a details of its design, collection protocols, and technical aspects. The dataset comprises speech samples, physiologi- cal signals (including electrocardiogram, electrodermal activity, skin temperature, and acceleration data), and video recordings from 90 subjects performing stress-inducing tasks. It comprises 16.9 hours of clean Czech speech data, averaging 15 minutes of clean speech per participant. The data collection procedure involves the induction of cognitive and physical stress induced by Reading Span task (RSPAN) and Hand Immersion (HIT) task respectively. The BESST dataset was collected under stringent ethical standards and is accessible for research and development.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • 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 Interspeech 2024

  • ISBN

  • ISSN

    1990-9772

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1355-1359

  • Publisher name

    International Speech Communication Association

  • Place of publication

    Kos

  • Event location

    Kos

  • Event date

    Sep 1, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article