Date of Original Version

9-2010

Type

Conference Proceeding

Journal Title

Proceedings of IEEE International Conference on Semantic Computing (ICSC)

First Page

134

Last Page

140

Rights Management

© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract or Description

In this paper, we present first results on applying a personality assessment paradigm to speech input, and comparing human and automatic performance on this task. We cue a professional speaker to produce speech using different personality profiles and encode the resulting vocal personality impressions in terms of the "Big Five" NEO-FFI personality traits. We then have human raters, who do not know the speaker, estimate the five factors. We analyze the recordings using signal-based acoustic and prosodic methods and observe high consistency between the acted personalities, the raters' assessments, and initial automatic classification results. This presents a first step towards being able to handle personality traits in speech, which we envision will be used in future voice-based communication between humans and machines.

DOI

10.1109/ICSC.2010.41

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Published In

Proceedings of IEEE International Conference on Semantic Computing (ICSC), 134-140.