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Open-set microphone classification via blind channel analysis

 
: Cuccovillo, Luca; Aichroth, Patrick

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016. Proceedings : March 20-25, 2016, Shanghai International Convention Center, Shanghai, China
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4799-9988-0 (electronic)
ISBN: 978-1-4799-9987-3 (USB)
ISBN: 978-1-4799-9989-7 (print)
S.2074-2078
International Conference on Acoustics, Speech and Signal Processing (ICASSP) <2016, Shanghai>
Englisch
Konferenzbeitrag
Fraunhofer IDMT ()
microphone classification; audio forensics; blind channel estimation

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.

: http://publica.fraunhofer.de/dokumente/N-391931.html