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Ingeniería y Ciencia
versão impressa ISSN 1794-9165
Resumo
BALLESTEROS-L., Dora M.; RENZA, Diego e DUVAN-ORTIZ, Héctor. Perceptual Digest Function for Verifying Integrity in Audio Forensics. ing.cienc. [online]. 2017, vol.13, n.25, pp.167-183. ISSN 1794-9165. https://doi.org/10.17230/ingciencia.13.25.7.
In this work we propose a function that allows to calculate a summary code from the parameters of a voice signal. This function is based on ordering of spectral coefficients obtained by means of the application of the Fast Fourier Transform (FFT), using a locally generated reference function (Gaussian random noise). The proposed method is oriented to the verification of integrity in forensic voice signals. The proposed methodology has a perceptual approach, which implies that the resulting code is maintained, even when modifications are made, particularly those that do not affect the sensitive content of the signal, such as re-quantization processes.
Palavras-chave : Hash function; perceptual hash; integrity; audio forensics.