Perceptual Digest Function for Verifying Integrity in Audio Forensics
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 (Gaussi...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Colombia |
| Institución: | Universidad EAFIT |
| Repositorio: | Repositorio EAFIT |
| Idioma: | español |
| OAI Identifier: | oai:repository.eafit.edu.co:10784/13175 |
| Acceso en línea: | http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4624 http://hdl.handle.net/10784/13175 |
| Access Level: | acceso abierto |
| Palabra clave: | Hash function Perceptual hash Integrity Audio forensics Función resumen Función perceptual Integridad Audio forense |
| Sumario: | 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. |
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