Cuccovillo, LucaLucaCuccovilloAichroth, PatrickPatrickAichroth2022-03-132024-02-062022-03-132016https://publica.fraunhofer.de/handle/publica/39198710.1109/ICASSP.2016.74720422-s2.0-84973354204In 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.enmicrophone classificationaudio forensicsblind channel estimationmedia forensics621006conference paper