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- W4313307733 abstract "Lie detectors are intended to determine whether a person is telling the truth. Psychologists and computer scientists have done a lot of research to make this possible. The psychologist can determine if a normal person is telling the truth or not by his body language; but what if this person is a skilled actor who can make the task of a psychologist difficult. For that, the investigators are using lie detectors with vital signs such as heart rate, etc. This research proposes to design a system that detects lies through deep learning using sound features such as mel-spectrogram. The proposed model can detect deception with a substantial accuracy of 100% on the training dataset and 97 % on the testing dataset." @default.
- W4313307733 created "2023-01-06" @default.
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- W4313307733 date "2022-11-16" @default.
- W4313307733 modified "2023-09-27" @default.
- W4313307733 title "Deceptive Detection based on Audio Spectrum Analysis using Deep Learning" @default.
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- W4313307733 doi "https://doi.org/10.1109/iceccme55909.2022.9988708" @default.
- W4313307733 hasPublicationYear "2022" @default.
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