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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.

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More About This Work

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