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  4. Open-set microphone classification via blind channel analysis
 
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2016
Conference Paper
Titel

Open-set microphone classification via blind channel analysis

Abstract
In this paper, we present a new algorithm for open-set microphone classification, which is based on a pre-existing blind channel estimation approach. The proposed method achieves a Rand index above 93% for AAC, MP3 and PCM-encoded recordings from eight different mobile devices.
Author(s)
Cuccovillo, Luca
Aichroth, Patrick
Hauptwerk
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016. Proceedings
Konferenz
International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2016
Thumbnail Image
DOI
10.1109/ICASSP.2016.7472042
Language
English
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Fraunhofer-Institut für Digitale Medientechnologie IDMT
Tags
  • microphone classifica...

  • audio forensics

  • blind channel estimat...

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