Humans as feature extractors: combining prosody and personality perception for improved speaking style recognition

Mohammadi, G. and Vinciarelli, A. (2011) Humans as feature extractors: combining prosody and personality perception for improved speaking style recognition. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Alaska, USA, 9-12 Oct 2011, pp. 363-366. (doi: 10.1109/ICSMC.2011.6083692)

Abstract

This paper presents experiments where natural and spontaneous cognitive processes, in particular those who lead to the attribution of personality traits to unacquainted people, are used as a natural form of feature extraction. In particular, personality assessments provided by human judges are used as features to distinguish between professional and non-professional speakers. The same task is performed with prosodic features extracted with a fully automatic process for comparison purposes. Furthermore both prosodic features and personality assessments are combined. The results show that the discrimination between professional and non-professional speaking styles can be performed with an accuracy of 87.2% when using prosodic features, of 75.5% when using personality assessments, and of 90.0% when using the combination of the two.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Vinciarelli, Professor Alessandro
• Authors: Mohammadi, G., and Vinciarelli, A.
• College/School: College of Science and Engineering > School of Computing Science