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Behavior Computing
Deception
Spoken Dialogs
Acoustic Indicators of Deception in Mandarin Daily Conversations Recorded from an Interactive Game
Abstract
Being able to distinguish the differences between deceptive and truthful statements in a dialogue is an important skill in daily life. Extensive studies on the acoustic features of deceptive English speech have been reported, but such research in Mandarin is relatively scarce. We constructed a Mandarin deception database of daily dialogues from native speakers in Taiwan. College students were recruited to participate in a game in which they were encouraged to lie and convince their opponents of experiences that they did not have. After data collection, acoustic-prosodic features were extracted. The statistics of these features were calculated so that the differences between truthful and deceptive sentences, both as they were intended and perceived, can be compared. Results indicate that different people tend to use different acoustic features when telling a lie; the participants could be put into 10 categories in a dendrogram, with an exception of 31 people from whom no acoustic indicators for deception were found. Without considering interpersonal differences, our best classifier reached an F1 score of 53.37% in distinguishing deceptive and truthful segmentation units. We hope to present this new database as a corpus for future studies on deception in Mandarin conversations.
Figures
The recording environment. Our member (middle) was instructing the subjects about the game.
The recording environment. Our member (middle) was instructing the subjects about the game.
Keywords
deception | trust | computational paralinguistics | Mandarin | corpus
Authors
Huang-Cheng Chou Chi-Chun Lee
Publication Date
2019/09/15
Conference
Interspeech
Interspeech 2019
DOI
10.21437/Interspeech.2019-2216
Publisher
ISCA