Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference 2015
DOI: 10.2991/jimet-15.2015.18
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Construction of Chinese Deceptive Speech Detection Corpus

Abstract: Nowadays, deceptive speech detection has raised more and more interests. The corpus is the foundation of researches in deceptive speech detection. While there are several corpora about English deception detection, few efforts have been put on Chinese which is quite different due to the culture divergence. In this paper, we construct a deceptive and non-deceptive Chinese speech corpus, the SUSP-DSD corpus. We first describe construction approach in detail, and then give a subjective and objective evaluation abo… Show more

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Cited by 2 publications
(2 citation statements)
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References 6 publications
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“…For the spoken language Mandarin, Cheng Fan et al constructed the SUSP-DSD corpus [5,6] through a three-phase experiment designed to obtain deceptive descriptions in different scenarios; however they only used the third phase for evaluation due to the difficulties about the setting of baseline. Another limitation of their work is that the scale of the SUSP-DSD corpus is smaller when comparing with the existing English corpora.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…For the spoken language Mandarin, Cheng Fan et al constructed the SUSP-DSD corpus [5,6] through a three-phase experiment designed to obtain deceptive descriptions in different scenarios; however they only used the third phase for evaluation due to the difficulties about the setting of baseline. Another limitation of their work is that the scale of the SUSP-DSD corpus is smaller when comparing with the existing English corpora.…”
Section: Related Workmentioning
confidence: 99%
“…A Mandarin database was constructed by collecting deceptive speech from a game [5,6]. Participants were asked to prepare either a fake or a truthful story about themselves and present it in front of two interviewers.…”
Section: Introductionmentioning
confidence: 99%