Future Access Enablers for Ubiquitous and Intelligent Infrastructures. Third International Conference, FABULOUS 2017, Bucharest, Romania, October 12-14, 2017, Proceedings

Research Article

Investigation on a Multimedia Forensic Noise Reduction Method Based on Proportionate Adaptive Algorithms

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  • @INPROCEEDINGS{10.1007/978-3-319-92213-3_26,
        author={Robert Dobre and Constantin Paleologu and Cristian Negrescu and Dumitru Stanomir},
        title={Investigation on a Multimedia Forensic Noise Reduction Method Based on Proportionate Adaptive Algorithms},
        proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. Third International Conference, FABULOUS 2017, Bucharest, Romania, October 12-14, 2017, Proceedings},
        proceedings_a={FABULOUS},
        year={2018},
        month={7},
        keywords={Adaptive filters Affine projection algorithm (APA) Noise reduction Multimedia forensic},
        doi={10.1007/978-3-319-92213-3_26}
    }
    
  • Robert Dobre
    Constantin Paleologu
    Cristian Negrescu
    Dumitru Stanomir
    Year: 2018
    Investigation on a Multimedia Forensic Noise Reduction Method Based on Proportionate Adaptive Algorithms
    FABULOUS
    Springer
    DOI: 10.1007/978-3-319-92213-3_26
Robert Dobre1,*, Constantin Paleologu1,*, Cristian Negrescu1,*, Dumitru Stanomir1,*
  • 1: Politehnica University of Bucharest
*Contact email: rdobre@elcom.pub.ro, pale@comm.pub.ro, negrescu@elcom.pub.ro, dumitru.stanomir@elcom.pub.ro

Abstract

In the modern era, audio or video recording is at everyone’s disposal any time with very low costs. Technology advances allow cameras and microphones to be installed in the most casual accessories like eyeglasses or clothes. Moreover, multimedia editing is also massively available. Near professional forgeries can be made using free software. Given the aforementioned conditions, it is understandable why multimedia forensics is a topic of great importance nowadays. The paper presents the performances obtained by using proportionate adaptive algorithms in a forensic noise reduction application, i.e., recovering a speech signal drowned in loud music, and argues why these algorithms could be preferred in such application.