DocumentCode :
3240063
Title :
Speech Analysis using Modulation-Based Features for Detecting Deception
Author :
Gopalan, K. ; Wenndt, S.
Author_Institution :
Purdue Univ. Calumet, Hammond
fYear :
2007
fDate :
1-4 July 2007
Firstpage :
619
Lastpage :
622
Abstract :
This paper reports on the initial results of analysis of speech features for detecting deception from speech utterances. The features are derived from the amplitude- and frequency-modulation (AM and FM) behavior of speech centered at different nominal formant frequencies. Analysis of truthful and deceptive speech, both established a posteriori, by a male speaker under jeopardy shows that Teager energy-related features, amplitude envelope-based parameters, and formant variations and bandwidths at selected frequencies have a potential to show subtle variations indicative of deception. For comparison, trajectory of the fundamental frequency of voicing was found to show relatively minor variations between truthful and deceptive speech.
Keywords :
amplitude modulation; feature extraction; frequency modulation; speaker recognition; speech processing; Teager energy-related features; amplitude envelope-based parameters; amplitude modulation; frequency modulation; modulation-based feature; speech analysis; speech deception detection; speech utterance; Amplitude modulation; Bandwidth; Computer vision; Frequency modulation; Heart rate; Psychology; Signal analysis; Speech analysis; Speech processing; Stress; Deceptive speech; Teager energy; modulation model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing, 2007 15th International Conference on
Conference_Location :
Cardiff
Print_ISBN :
1-4244-0882-2
Electronic_ISBN :
1-4244-0882-2
Type :
conf
DOI :
10.1109/ICDSP.2007.4288658
Filename :
4288658
Link To Document :
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