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An Evaluation of Entropy Measures for Microphone Identification

Research findings have shown that microphones can be uniquely identified by audio recordings since physical features of the microphone components leave repeatable and distinguishable traces on the audio stream. This property can be exploited in security applications to perform the identification of...

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Detalhes bibliográficos
Publicado no:Entropy (Basel)
Main Authors: Baldini, Gianmarco, Amerini, Irene
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7712015/
https://ncbi.nlm.nih.gov/pubmed/33287003
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22111235
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