M. Graciarena, E. Shriberg, A. Stolcke, F. Enos, J. Hirschberg and S. Kajarekar, “Combining Prosodic Lexical and Cepstral Systems for Deceptive Speech Detection,” 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006, pp. I-I, doi: 10.1109/ICASSP.2006.1660200.
Abstract
We report on machine learning experiments to distinguish deceptive from nondeceptive 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.
