Layered Voice Analysis Based Determination of Personality Traits

Manchireddy, Brinda; Sadaf, Sumaiyah; Kamalesh, Joseph
August 2010
Australasian Medical Journal;Aug2010, Vol. 3 Issue 8, p521
Academic Journal
Introduction Voice opens a door through which emotions fleetly escape analogous to actions manifesting one's personality traits. Voice analysis is the study of speech sounds for purposes other than linguistic content, such as in speech recognition. Layered voice analysis identifies various types of stress levels, cognitive processes, and emotional reactions that are reflected in different properties of the voice. LVA uses a unique mathematical process to detect different types of patterns and abnormalities in the speech flow and classify them in terms of stress, excitement, confusion and other relevant emotional states. Thus the research question:- 'do the outpouring of emotions through one's voice reflect on their personality traits?' Materials and Methods This was a descriptive study conducted among medical students in the age group of 17 to 23 years. All students were administered the 16PF assessment questionnaire which has been internationally accepted as a standard for assessment of psychological traits. The voice samples of the students were recorded in a soundproof room using appropriate recording equipment. The voice samples thus obtained were analysed by the LVAiâ„¢ software supplied by Nemescyso Voice analysis technologies, Natania, Israel. The data generated by the software was analysed by SPSS software version 17. Results Various traits like affectogthmia, surgency, harria, threctia, praxernia etc were determined based on the 16PF. The emotional factors generated by the LVAi software were content, upset, angry, stressed, excited, concentrated, hesitation and emotion-cognition ratio. There was a strong correlation between the emotion-cognition ratio and the ego strength (p= 0.032). Students who are generally more upset tend to have a higher level of affectogthmia. There were also various relationships between personality traits and emotions which have been statistically significant. Conclusions A significant correlation was seen between the emotional factors and certain personality traits. Thus the emotions displayed through voice can be used as a tool to determine personality.


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