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Proceedings Article

Development and testing of an audio forensic software for enhancing speech signals masked by loud music

[+] Author Affiliations
Robert A. Dobre, Cristian Negrescu, Dumitru Stanomir

Politehnica Univ. of Bucharest (Romania)

Proc. SPIE 10010, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII, 100103A (December 14, 2016); doi:10.1117/12.2243356
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From Conference Volume 10010

  • Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII
  • Marian Vladescu; Razvan Tamas; Ionica Cristea
  • Constanta, Romania | August 25, 2016

abstract

In many situations audio recordings can decide the fate of a trial when accepted as evidence. But until they can be taken into account they must be authenticated at first, but also the quality of the targeted content (speech in most cases) must be good enough to remove any doubt. In this scope two main directions of multimedia forensics come into play: content authentication and noise reduction. This paper presents an application that is included in the latter. If someone would like to conceal their conversation, the easiest way to do it would be to turn loud the nearest audio system. In this situation, if a microphone was placed close by, the recorded signal would be apparently useless because the speech signal would be masked by the loud music signal. The paper proposes an adaptive filters based solution to remove the musical content from a previously described signal mixture in order to recover the masked vocal signal. Two adaptive filtering algorithms were tested in the proposed solution: the Normalised Least Mean Squares (NLMS) and Recursive Least Squares (RLS). Their performances in the described situation were evaluated using Simulink, compared and included in the paper. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Robert A. Dobre ; Cristian Negrescu and Dumitru Stanomir
" Development and testing of an audio forensic software for enhancing speech signals masked by loud music ", Proc. SPIE 10010, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII, 100103A (December 14, 2016); doi:10.1117/12.2243356; http://dx.doi.org/10.1117/12.2243356


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