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Combining Prosodic, Lexical and Cepstral Systems for Deceptive Speech Detection

Hirschberg, Julia Bell; Enos, Frank; Graciarena, Martin; Shriberg, Elizabeth; Stolcke, Andreas; Kajarekar, Sachin

We report on machine learning experiments to distinguish deceptive from non-deceptive speech in the Columbia-SRI-Colorado (CSC) corpus. Specifically, we propose a system combination approach using different models and features for deception detection. Scores from an SVM system based on prosodic/lexical features are combined with scores from a Gaussian mixture model system based on acoustic features, resulting in improved accuracy over the individual systems. Finally, we compare results from the prosodic-only SVM system using features derived either from recognized words or from human transcriptions.


More About This Work

Academic Units
Computer Science
Proceedings IEEE ICASSP 2006
Published Here
June 30, 2013
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