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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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Detalles Bibliográficos
Autores principales: Baldini, Gianmarco, Amerini, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712015/
https://www.ncbi.nlm.nih.gov/pubmed/33287003
http://dx.doi.org/10.3390/e22111235

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