• DocumentCode
    3703393
  • Title

    An investigation of emotion changes from speech

  • Author

    Zhaocheng Huang

  • Author_Institution
    School of Electrical Engineering and Telecommunications The University of New South Wales, Sydney, Australia
  • fYear
    2015
  • Firstpage
    733
  • Lastpage
    736
  • Abstract
    Emotion recognition based on speech plays an important role in Human Computer Interaction (HCI), which has motivated extensive recent investigation into this area. However, current research on emotion recognition is focused on recognizing emotion on a per-file basis and mostly does not provide insight into emotion changes. In my research, emotion transition problem will be investigated, including localizing emotion change points, recognizing emotion transition patterns and predicting or recognizing emotion changes. As well as being potentially important in applications, the research delving into emotion changes paves the way towards a better understanding of emotions from engineering and potentially psychological perspectives.
  • Keywords
    "Hidden Markov models","Emotion recognition","Databases","Speech","Feature extraction","Speech recognition"
  • Publisher
    ieee
  • Conference_Titel
    Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on
  • Electronic_ISBN
    2156-8111
  • Type

    conf

  • DOI
    10.1109/ACII.2015.7344650
  • Filename
    7344650