publication . Article . Conference object . 2009

Unweighted fusion in microphone forensics using a decision tree and linear logistic regression models

Christian Kraetzer; Maik Schott; Jana Dittmann;
Closed Access
  • Published: 07 Sep 2009
Abstract
For the exemplarily chosen domain of microphone forensics we show that media forensics can strongly benefit from combining statistical pattern recognition (using supervised classification) and unweighted information fusion (on the example of match-, rank- and decision level fusion). The practical results presented show that, by using a carefully selected fusion strategy and two multi-class classifiers (a decision tree and linear logistic regression models), the accuracy achieved in practical testing can be increased to 100%. This result is based on first tests on two sets of four and seven different microphones. For each of those microphones ten reference sample...
Subjects
ACM Computing Classification System: ComputerSystemsOrganization_MISCELLANEOUS
free text keywords: Microphone, Decision level, Digital audio, Logistic regression, Statistical pattern, Pattern recognition, Decision tree, Artificial intelligence, business.industry, business, Information fusion, Supervised training, Computer science
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