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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Polzehl, T. Moller, S. Metze, F. |
| Copyright Year | 2010 |
| Description | Author affiliation: Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213; U.S.A. (Metze, F.) || Quality and Usability Lab, Technische Universität Berlin / Deutsche Telekom Laboratories, 10587; Germany (Polzehl, T.; Moller, S.) |
| Abstract | 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. |
| Starting Page | 7 |
| Ending Page | 12 |
| File Size | 144378 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424479047 |
| e-ISBN | 9781424479023 |
| DOI | 10.1109/SLT.2010.5700814 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Correlation Accuracy Humans Speech personality recognition Acoustics Electronic mail acoustic and prosodic modeling semantics of speech |
| Content Type | Text |
| Resource Type | Article |
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