• DocumentCode
    3187690
  • Title

    The discriminant analysis of the voice expression of emotion - Focus on the nursing experience -

  • Author

    Yahan Gao ; Ohno, Y. ; Feng Qian ; ZhaoYan Hu ; ZhiXiong Wang

  • Author_Institution
    Shanghai Med. Instrum. Coll., Shanghai, China
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    1262
  • Lastpage
    1265
  • Abstract
    The characteristics of emotional expression in everyday life vary significantly depending on one´s life experiences, role in society, and other factors, especially special occupation experiences. We focus on the nursing experience. The purpose of this study is to establish a method to discriminate voice of nurse´s emotion. We performed the pronunciation experiment at first and through the sound analysis, extracted the effective speech parameters. For make clear of the differences of these parameters between emotions and discriminate emotions, we performed the multiple comparisons and discriminant analysis. In the result, found that the speech parameters different between emotions and these affected parameters are different at two groups based on nursing experience. In four emotions of our study, the Sadness is easy discriminant emotion; the Joy is most difficult to discriminate. Through the discriminant analysis, found two stable speech parameters.
  • Keywords
    emotion recognition; patient care; psychology; speech; discriminant analysis; discriminant emotion; effective speech parameter; emotion voice expression; joy; life experiences; nurse voice emotion; nursing experience; pronunciation experiment; sadness; sound analysis; special occupation experience; Educational institutions; Error analysis; Medical services; Pressure measurement; Service robots; Speech; discriminant analysis; emotion; healthcare information; nursing care management; nursing experience; speech parameter; voice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6609737
  • Filename
    6609737