All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Emotional Impact on Neurological Characteristics and Human Speech

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/61989100:27740/14:86090871

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Emotional Impact on Neurological Characteristics and Human Speech

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

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

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 298

  • ISBN

    978-3-319-07772-7

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    527-533

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Shenzhen

  • Event date

    Jun 13, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article