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
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.
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