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Emotional Impact on Neurological Characteristics and Human Speech

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86090871" target="_blank" >RIV/61989100:27240/14:86090871 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/61989100:27740/14:86090871

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1007/978-3-319-07773-4_52" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07773-4_52</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-07773-4_52" target="_blank" >10.1007/978-3-319-07773-4_52</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Emotional Impact on Neurological Characteristics and Human Speech

  • Popis výsledku v původním jazyce

    This article discusses impact of human emotions on physiological characteristics and their changes. Many fields require applications that provide information about the emotional state of a human. Today's research is mainly concerned with increasing the accuracy of the methodology for obtaining this information. Studied subjects were psychologically stimulated to change their neutral calm state to stress. Subjects were measured physiological characteristics and the change of speech also. Blood samples, ECG and EEG form part of the neurophysiological data that were collected during the neutral state and during stress. Voice activity was recorded from reading text that read, patients in both emotional state. Features extraction was focused on the Mel-frequency Cepstral coefficients and their dynamic and accelerated derivations. Change in emotional state from neutral to stress was recognized by using a GMM classifier that has been trained and tested by mentioned speech features. Psychological stimulus was induced using professional psychological methods. The measurement was performed in a special EMC interference protected chamber to prevent undesirable electrical influences from the external environment especially on sensitive EEG measurement.

  • Název v anglickém jazyce

    Emotional Impact on Neurological Characteristics and Human Speech

  • Popis výsledku anglicky

    This article discusses impact of human emotions on physiological characteristics and their changes. Many fields require applications that provide information about the emotional state of a human. Today's research is mainly concerned with increasing the accuracy of the methodology for obtaining this information. Studied subjects were psychologically stimulated to change their neutral calm state to stress. Subjects were measured physiological characteristics and the change of speech also. Blood samples, ECG and EEG form part of the neurophysiological data that were collected during the neutral state and during stress. Voice activity was recorded from reading text that read, patients in both emotional state. Features extraction was focused on the Mel-frequency Cepstral coefficients and their dynamic and accelerated derivations. Change in emotional state from neutral to stress was recognized by using a GMM classifier that has been trained and tested by mentioned speech features. Psychological stimulus was induced using professional psychological methods. The measurement was performed in a special EMC interference protected chamber to prevent undesirable electrical influences from the external environment especially on sensitive EEG measurement.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

    JC - Počítačový hardware a software

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2014

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Advances in Intelligent Systems and Computing. Volume 298

  • ISBN

    978-3-319-07772-7

  • ISSN

    2194-5357

  • e-ISSN

  • Počet stran výsledku

    7

  • Strana od-do

    527-533

  • Název nakladatele

    Springer

  • Místo vydání

    Berlin

  • Místo konání akce

    Shenzhen

  • Datum konání akce

    13. 6. 2014

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku