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KMID : 1022420140060020021
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Phonetics and Speech Sciences
2014 Volume.6 No. 2 p.21 ~ p.28
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An Automatic Method of Detecting Audio Signal Tampering in Forensic Phonetics
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Yang Il-Ho
Kim Kyung-Wha
Kim Myung-Jae
Baek Rock-Seon
Heo Hee-Soo
Yu Ha-Jin
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Abstract
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We propose a novel scheme for digital audio authentication of given audio files which are edited by inserting small audiosegments from different environmental sources. The purpose of this research is to detect inserted sections from given audio files. We expect that the proposed method will assist human investigators by notifying suspected audio section which considered to berecorded or transmitted on different environments. GMM-UBM and GSV-SVM are applied for modeling the dominantenvironment of a given audio file. Four kinds of likelihood ratio based scores and SVM score are used to measure thelikelihood for a dominant environment model. We also use an ensemble score which is a combination of the aforementioned fivekinds of scores. In the experimental results, the proposed method shows the lowest average equal error rate when we use theensemble score. Even when dominant environments were unknown, the proposed method gives a similar accuracy.
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KEYWORD
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forgery detection, digital audio authentication, GMM, SVM, classifier ensemble
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